Overview

Dataset statistics

Number of variables260
Number of observations1000
Missing cells363
Missing cells (%)0.1%
Total size in memory16.7 MiB
Average record size in memory17.1 KiB

Variable types

Numeric1
Text259

Alerts

year_ending has constant value ""Constant
national_median_energy_star has constant value ""Constant
energy_star_certification_4 has constant value ""Constant
kerosene_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
liquid_propane_use_kbtu has constant value ""Constant
district_hot_water_use_kbtu has constant value ""Constant
difference_from_national_2 has constant value ""Constant
water_wastewater_investment has constant value ""Constant
water_wastewater_estimated has constant value ""Constant
costar_property_id has constant value ""Constant
ambulatory_surgical_center has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
bar_nightclub_gross_floor has constant value ""Constant
convenience_store_with_gas has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pdu_input_meter has constant value ""Constant
data_center_pdu_output_meter has constant value ""Constant
data_center_it_equipment has constant value ""Constant
data_center_pue has constant value ""Constant
enclosed_mall_gross_floor has constant value ""Constant
energy_power_station_gross has constant value ""Constant
laboratory_gross_floor_area has constant value ""Constant
manufacturing_industrial has constant value ""Constant
movie_theater_gross_floor has constant value ""Constant
performing_arts_gross_floor has constant value ""Constant
pre_school_daycare_gross has constant value ""Constant
race_track_gross_floor_area has constant value ""Constant
repair_services_vehicle_shoe has constant value ""Constant
strip_mall_gross_floor_area has constant value ""Constant
transportation_terminal has constant value ""Constant
veterinary_office_gross_floor has constant value ""Constant
vocational_school_gross_floor has constant value ""Constant
estimated_data_flag_1 has constant value ""Constant
alert_no_meters_are_associated has constant value ""Constant
borough has 51 (5.1%) missing valuesMissing
latitude has 51 (5.1%) missing valuesMissing
longitude has 51 (5.1%) missing valuesMissing
community_board has 51 (5.1%) missing valuesMissing
council_district has 51 (5.1%) missing valuesMissing
census_tract has 51 (5.1%) missing valuesMissing
nta has 51 (5.1%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:49:51.649457
Analysis finished2023-12-09 20:50:01.464406
Duration9.81 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:50:01.945989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:50:02.115092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:50:02.735477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.978
Min length4

Characters and Unicode

Total characters6978
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1390799 2
 
0.2%
1958942 2
 
0.2%
1045358 2
 
0.2%
1069082 2
 
0.2%
2271551 1
 
0.1%
2636742 1
 
0.1%
2564710 1
 
0.1%
2383861 1
 
0.1%
2637427 1
 
0.1%
2637355 1
 
0.1%
Other values (986) 986
98.6%
2023-12-09T20:50:03.326558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1259
18.0%
6 948
13.6%
5 736
10.5%
3 695
10.0%
1 600
8.6%
0 600
8.6%
8 593
8.5%
4 561
8.0%
9 536
7.7%
7 450
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6978
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1259
18.0%
6 948
13.6%
5 736
10.5%
3 695
10.0%
1 600
8.6%
0 600
8.6%
8 593
8.5%
4 561
8.0%
9 536
7.7%
7 450
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1259
18.0%
6 948
13.6%
5 736
10.5%
3 695
10.0%
1 600
8.6%
0 600
8.6%
8 593
8.5%
4 561
8.0%
9 536
7.7%
7 450
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1259
18.0%
6 948
13.6%
5 736
10.5%
3 695
10.0%
1 600
8.6%
0 600
8.6%
8 593
8.5%
4 561
8.0%
9 536
7.7%
7 450
 
6.4%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size75.4 KiB
2023-12-09T20:50:03.812460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length62
Median length49
Mean length20.126
Min length3

Characters and Unicode

Total characters20126
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
street 171
 
4.6%
avenue 130
 
3.5%
109
 
3.0%
ave 105
 
2.8%
west 77
 
2.1%
east 75
 
2.0%
llc 65
 
1.8%
park 64
 
1.7%
st 63
 
1.7%
corp 39
 
1.1%
Other values (1293) 2789
75.6%
2023-12-09T20:50:04.487933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2695
 
13.4%
e 1485
 
7.4%
t 1075
 
5.3%
a 835
 
4.1%
r 800
 
4.0%
n 737
 
3.7%
o 610
 
3.0%
i 553
 
2.7%
1 539
 
2.7%
s 529
 
2.6%
Other values (64) 10268
51.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9378
46.6%
Uppercase Letter 4349
21.6%
Decimal Number 3107
 
15.4%
Space Separator 2695
 
13.4%
Other Punctuation 276
 
1.4%
Dash Punctuation 254
 
1.3%
Close Punctuation 33
 
0.2%
Open Punctuation 33
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1485
15.8%
t 1075
11.5%
a 835
8.9%
r 800
 
8.5%
n 737
 
7.9%
o 610
 
6.5%
i 553
 
5.9%
s 529
 
5.6%
l 395
 
4.2%
u 318
 
3.4%
Other values (16) 2041
21.8%
Uppercase Letter
ValueCountFrequency (%)
S 473
 
10.9%
A 449
 
10.3%
E 384
 
8.8%
C 375
 
8.6%
L 304
 
7.0%
T 279
 
6.4%
R 253
 
5.8%
P 246
 
5.7%
W 212
 
4.9%
O 179
 
4.1%
Other values (16) 1195
27.5%
Decimal Number
ValueCountFrequency (%)
1 539
17.3%
2 431
13.9%
0 417
13.4%
5 378
12.2%
3 285
9.2%
4 268
8.6%
6 227
7.3%
7 215
 
6.9%
8 176
 
5.7%
9 171
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 149
54.0%
: 50
 
18.1%
, 44
 
15.9%
& 23
 
8.3%
' 7
 
2.5%
/ 2
 
0.7%
# 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13727
68.2%
Common 6399
31.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1485
 
10.8%
t 1075
 
7.8%
a 835
 
6.1%
r 800
 
5.8%
n 737
 
5.4%
o 610
 
4.4%
i 553
 
4.0%
s 529
 
3.9%
S 473
 
3.4%
A 449
 
3.3%
Other values (42) 6181
45.0%
Common
ValueCountFrequency (%)
2695
42.1%
1 539
 
8.4%
2 431
 
6.7%
0 417
 
6.5%
5 378
 
5.9%
3 285
 
4.5%
4 268
 
4.2%
- 254
 
4.0%
6 227
 
3.5%
7 215
 
3.4%
Other values (12) 690
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2695
 
13.4%
e 1485
 
7.4%
t 1075
 
5.3%
a 835
 
4.1%
r 800
 
4.0%
n 737
 
3.7%
o 610
 
3.0%
i 553
 
2.7%
1 539
 
2.7%
s 529
 
2.6%
Other values (64) 10268
51.0%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size89.4 KiB
2023-12-09T20:50:04.704215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.44
Min length7

Characters and Unicode

Total characters34440
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 980
24.9%
applicable 980
24.9%
standalone 980
24.9%
property 980
24.9%
3615313 5
 
0.1%
3614737 4
 
0.1%
3618422 3
 
0.1%
4393741 2
 
0.1%
3614751 2
 
0.1%
3618427 1
 
< 0.1%
Other values (3) 3
 
0.1%
2023-12-09T20:50:05.026732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2940
 
8.5%
2940
 
8.5%
p 2940
 
8.5%
l 2940
 
8.5%
a 2940
 
8.5%
e 2940
 
8.5%
o 2940
 
8.5%
n 1960
 
5.7%
r 1960
 
5.7%
S 980
 
2.8%
Other values (18) 8960
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26460
76.8%
Uppercase Letter 3920
 
11.4%
Space Separator 2940
 
8.5%
Other Punctuation 980
 
2.8%
Decimal Number 140
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2940
11.1%
p 2940
11.1%
l 2940
11.1%
a 2940
11.1%
e 2940
11.1%
o 2940
11.1%
n 1960
7.4%
r 1960
7.4%
y 980
 
3.7%
d 980
 
3.7%
Other values (3) 2940
11.1%
Decimal Number
ValueCountFrequency (%)
3 36
25.7%
1 30
21.4%
6 21
15.0%
4 16
11.4%
7 13
 
9.3%
5 8
 
5.7%
2 8
 
5.7%
8 5
 
3.6%
9 3
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 980
25.0%
P 980
25.0%
N 980
25.0%
A 980
25.0%
Space Separator
ValueCountFrequency (%)
2940
100.0%
Other Punctuation
ValueCountFrequency (%)
: 980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30380
88.2%
Common 4060
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2940
9.7%
p 2940
9.7%
l 2940
9.7%
a 2940
9.7%
e 2940
9.7%
o 2940
9.7%
n 1960
 
6.5%
r 1960
 
6.5%
S 980
 
3.2%
y 980
 
3.2%
Other values (7) 6860
22.6%
Common
ValueCountFrequency (%)
2940
72.4%
: 980
 
24.1%
3 36
 
0.9%
1 30
 
0.7%
6 21
 
0.5%
4 16
 
0.4%
7 13
 
0.3%
5 8
 
0.2%
2 8
 
0.2%
8 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2940
 
8.5%
2940
 
8.5%
p 2940
 
8.5%
l 2940
 
8.5%
a 2940
 
8.5%
e 2940
 
8.5%
o 2940
 
8.5%
n 1960
 
5.7%
r 1960
 
5.7%
S 980
 
2.8%
Other values (18) 8960
26.0%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size89.8 KiB
2023-12-09T20:50:05.264119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length35
Mean length34.872
Min length10

Characters and Unicode

Total characters34872
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 980
24.5%
standalone 980
24.5%
property 980
24.5%
applicable 980
24.5%
center 11
 
0.3%
campus 8
 
0.2%
university 6
 
0.1%
medical 6
 
0.1%
kettering 5
 
0.1%
cancer 5
 
0.1%
Other values (19) 41
 
1.0%
2023-12-09T20:50:05.624790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3002
 
8.6%
e 2998
 
8.6%
a 2984
 
8.6%
t 2974
 
8.5%
o 2964
 
8.5%
l 2963
 
8.5%
p 2950
 
8.5%
n 1994
 
5.7%
r 1994
 
5.7%
i 1016
 
2.9%
Other values (32) 9033
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26860
77.0%
Uppercase Letter 4025
 
11.5%
Space Separator 3002
 
8.6%
Other Punctuation 980
 
2.8%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2998
11.2%
a 2984
11.1%
t 2974
11.1%
o 2964
11.0%
l 2963
11.0%
p 2950
11.0%
n 1994
7.4%
r 1994
7.4%
i 1016
 
3.8%
c 996
 
3.7%
Other values (11) 3027
11.3%
Uppercase Letter
ValueCountFrequency (%)
S 992
24.6%
N 987
24.5%
P 983
24.4%
A 981
24.4%
C 31
 
0.8%
M 11
 
0.3%
U 7
 
0.2%
K 5
 
0.1%
Y 4
 
0.1%
H 4
 
0.1%
Other values (8) 20
 
0.5%
Space Separator
ValueCountFrequency (%)
3002
100.0%
Other Punctuation
ValueCountFrequency (%)
: 980
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30885
88.6%
Common 3987
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2998
9.7%
a 2984
9.7%
t 2974
9.6%
o 2964
9.6%
l 2963
9.6%
p 2950
9.6%
n 1994
 
6.5%
r 1994
 
6.5%
i 1016
 
3.3%
c 996
 
3.2%
Other values (29) 7052
22.8%
Common
ValueCountFrequency (%)
3002
75.3%
: 980
 
24.6%
1 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34872
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3002
 
8.6%
e 2998
 
8.6%
a 2984
 
8.6%
t 2974
 
8.5%
o 2964
 
8.5%
l 2963
 
8.5%
p 2950
 
8.5%
n 1994
 
5.7%
r 1994
 
5.7%
i 1016
 
2.9%
Other values (32) 9033
25.9%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:50:05.806370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014-12-31T00:00:00.000
2nd row2014-12-31T00:00:00.000
3rd row2014-12-31T00:00:00.000
4th row2014-12-31T00:00:00.000
5th row2014-12-31T00:00:00.000
ValueCountFrequency (%)
2014-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:50:06.099099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
4 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
4 1000
 
5.9%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
4 1000
 
4.5%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
4 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct952
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:50:06.508137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length687
Median length7
Mean length9.272
Min length7

Characters and Unicode

Total characters9272
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique933 ?
Unique (%)93.3%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
not 31
 
2.7%
available 31
 
2.7%
1016880 2
 
0.2%
4444404 2
 
0.2%
4444408 2
 
0.2%
4460244 2
 
0.2%
4444414 2
 
0.2%
4444415 2
 
0.2%
4444416 2
 
0.2%
4444413 2
 
0.2%
Other values (1034) 1056
93.1%
2023-12-09T20:50:07.290181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1624
17.5%
1 1443
15.6%
4 1189
12.8%
2 761
8.2%
3 735
7.9%
5 674
7.3%
6 562
 
6.1%
8 561
 
6.1%
7 520
 
5.6%
9 444
 
4.8%
Other values (12) 759
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8513
91.8%
Lowercase Letter 310
 
3.3%
Space Separator 214
 
2.3%
Other Punctuation 173
 
1.9%
Uppercase Letter 62
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1624
19.1%
1 1443
17.0%
4 1189
14.0%
2 761
8.9%
3 735
8.6%
5 674
7.9%
6 562
 
6.6%
8 561
 
6.6%
7 520
 
6.1%
9 444
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
o 31
10.0%
e 31
10.0%
b 31
10.0%
i 31
10.0%
v 31
10.0%
t 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Other Punctuation
ValueCountFrequency (%)
; 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8900
96.0%
Latin 372
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1624
18.2%
1 1443
16.2%
4 1189
13.4%
2 761
8.6%
3 735
8.3%
5 674
7.6%
6 562
 
6.3%
8 561
 
6.3%
7 520
 
5.8%
9 444
 
5.0%
Other values (2) 387
 
4.3%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
o 31
8.3%
e 31
8.3%
b 31
8.3%
i 31
8.3%
v 31
8.3%
A 31
8.3%
t 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1624
17.5%
1 1443
15.6%
4 1189
12.8%
2 761
8.2%
3 735
7.9%
5 674
7.3%
6 562
 
6.1%
8 561
 
6.1%
7 520
 
5.6%
9 444
 
4.8%
Other values (12) 759
8.2%
Distinct905
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:50:07.612195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length26
Median length10
Mean length10.716
Min length6

Characters and Unicode

Total characters10716
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique871 ?
Unique (%)87.1%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
4076720002 16
 
1.6%
4076580002 12
 
1.2%
5005950015 9
 
0.9%
4071170002 9
 
0.9%
4076440002 5
 
0.5%
4076600002 5
 
0.5%
2032730001 4
 
0.4%
1-01264-0005 4
 
0.4%
not 4
 
0.4%
available 4
 
0.4%
Other values (896) 932
92.8%
2023-12-09T20:50:08.078416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3860
36.0%
1 1839
17.2%
2 797
 
7.4%
- 666
 
6.2%
3 633
 
5.9%
5 589
 
5.5%
7 582
 
5.4%
4 545
 
5.1%
6 401
 
3.7%
8 393
 
3.7%
Other values (13) 411
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9995
93.3%
Dash Punctuation 666
 
6.2%
Lowercase Letter 40
 
0.4%
Uppercase Letter 8
 
0.1%
Space Separator 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3860
38.6%
1 1839
18.4%
2 797
 
8.0%
3 633
 
6.3%
5 589
 
5.9%
7 582
 
5.8%
4 545
 
5.5%
6 401
 
4.0%
8 393
 
3.9%
9 356
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
20.0%
l 8
20.0%
e 4
10.0%
b 4
10.0%
i 4
10.0%
v 4
10.0%
t 4
10.0%
o 4
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
A 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 666
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
; 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10668
99.6%
Latin 48
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3860
36.2%
1 1839
17.2%
2 797
 
7.5%
- 666
 
6.2%
3 633
 
5.9%
5 589
 
5.5%
7 582
 
5.5%
4 545
 
5.1%
6 401
 
3.8%
8 393
 
3.7%
Other values (3) 363
 
3.4%
Latin
ValueCountFrequency (%)
a 8
16.7%
l 8
16.7%
e 4
8.3%
b 4
8.3%
i 4
8.3%
N 4
8.3%
v 4
8.3%
A 4
8.3%
t 4
8.3%
o 4
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3860
36.0%
1 1839
17.2%
2 797
 
7.4%
- 666
 
6.2%
3 633
 
5.9%
5 589
 
5.5%
7 582
 
5.4%
4 545
 
5.1%
6 401
 
3.7%
8 393
 
3.7%
Other values (13) 411
 
3.8%
Distinct982
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size72.9 KiB
2023-12-09T20:50:08.565379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length28
Mean length17.511
Min length5

Characters and Unicode

Total characters17511
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique976 ?
Unique (%)97.6%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
street 314
 
9.2%
avenue 224
 
6.6%
ave 144
 
4.2%
west 124
 
3.6%
east 98
 
2.9%
st 73
 
2.1%
park 64
 
1.9%
w 44
 
1.3%
broadway 42
 
1.2%
madison 37
 
1.1%
Other values (1024) 2241
65.8%
2023-12-09T20:50:09.207845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2422
 
13.8%
e 1541
 
8.8%
t 1251
 
7.1%
1 711
 
4.1%
r 690
 
3.9%
a 577
 
3.3%
0 553
 
3.2%
2 543
 
3.1%
5 505
 
2.9%
S 483
 
2.8%
Other values (60) 8235
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7673
43.8%
Decimal Number 4081
23.3%
Uppercase Letter 3101
17.7%
Space Separator 2422
 
13.8%
Dash Punctuation 170
 
1.0%
Other Punctuation 62
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1541
20.1%
t 1251
16.3%
r 690
9.0%
a 577
 
7.5%
n 466
 
6.1%
s 418
 
5.4%
v 381
 
5.0%
h 348
 
4.5%
i 309
 
4.0%
u 304
 
4.0%
Other values (15) 1388
18.1%
Uppercase Letter
ValueCountFrequency (%)
S 483
15.6%
A 468
15.1%
E 396
12.8%
W 240
 
7.7%
T 218
 
7.0%
R 187
 
6.0%
P 165
 
5.3%
B 102
 
3.3%
M 95
 
3.1%
L 94
 
3.0%
Other values (15) 653
21.1%
Decimal Number
ValueCountFrequency (%)
1 711
17.4%
0 553
13.6%
2 543
13.3%
5 505
12.4%
3 394
9.7%
4 344
8.4%
6 308
7.5%
7 264
 
6.5%
9 249
 
6.1%
8 210
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 53
85.5%
, 4
 
6.5%
/ 2
 
3.2%
# 1
 
1.6%
& 1
 
1.6%
; 1
 
1.6%
Space Separator
ValueCountFrequency (%)
2422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10774
61.5%
Common 6737
38.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1541
 
14.3%
t 1251
 
11.6%
r 690
 
6.4%
a 577
 
5.4%
S 483
 
4.5%
A 468
 
4.3%
n 466
 
4.3%
s 418
 
3.9%
E 396
 
3.7%
v 381
 
3.5%
Other values (40) 4103
38.1%
Common
ValueCountFrequency (%)
2422
36.0%
1 711
 
10.6%
0 553
 
8.2%
2 543
 
8.1%
5 505
 
7.5%
3 394
 
5.8%
4 344
 
5.1%
6 308
 
4.6%
7 264
 
3.9%
9 249
 
3.7%
Other values (10) 444
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2422
 
13.8%
e 1541
 
8.8%
t 1251
 
7.1%
1 711
 
4.1%
r 690
 
3.9%
a 577
 
3.3%
0 553
 
3.2%
2 543
 
3.1%
5 505
 
2.9%
S 483
 
2.8%
Other values (60) 8235
47.0%
Distinct15
Distinct (%)1.5%
Missing3
Missing (%)0.3%
Memory size68.4 KiB
2023-12-09T20:50:09.470783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length38
Median length13
Mean length13.06018054
Min length5

Characters and Unicode

Total characters13021
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
48.8%
available 982
48.8%
street 3
 
0.1%
east 2
 
0.1%
ave 2
 
0.1%
12th 2
 
0.1%
long 2
 
0.1%
island 2
 
0.1%
city 2
 
0.1%
highway 1
 
< 0.1%
Other values (32) 32
 
1.6%
2023-12-09T20:50:09.864938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.2%
l 1969
15.1%
1015
7.8%
t 1004
7.7%
e 1003
7.7%
o 991
7.6%
i 988
7.6%
v 984
7.6%
b 984
7.6%
N 983
7.5%
Other values (36) 1122
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9963
76.5%
Uppercase Letter 1996
 
15.3%
Space Separator 1015
 
7.8%
Decimal Number 45
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
19.9%
l 1969
19.8%
t 1004
10.1%
e 1003
10.1%
o 991
9.9%
i 988
9.9%
v 984
9.9%
b 984
9.9%
n 12
 
0.1%
r 10
 
0.1%
Other values (11) 40
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 983
49.2%
A 983
49.2%
S 7
 
0.4%
C 6
 
0.3%
E 3
 
0.2%
P 2
 
0.1%
R 2
 
0.1%
I 2
 
0.1%
L 2
 
0.1%
B 1
 
0.1%
Other values (5) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 12
26.7%
2 7
15.6%
3 7
15.6%
0 6
13.3%
7 5
11.1%
4 3
 
6.7%
5 3
 
6.7%
9 2
 
4.4%
Space Separator
ValueCountFrequency (%)
1015
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11959
91.8%
Common 1062
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.5%
l 1969
16.5%
t 1004
8.4%
e 1003
8.4%
o 991
8.3%
i 988
8.3%
v 984
8.2%
b 984
8.2%
N 983
8.2%
A 983
8.2%
Other values (26) 92
 
0.8%
Common
ValueCountFrequency (%)
1015
95.6%
1 12
 
1.1%
2 7
 
0.7%
3 7
 
0.7%
0 6
 
0.6%
7 5
 
0.5%
4 3
 
0.3%
5 3
 
0.3%
- 2
 
0.2%
9 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.2%
l 1969
15.1%
1015
7.8%
t 1004
7.7%
e 1003
7.7%
o 991
7.6%
i 988
7.6%
v 984
7.6%
b 984
7.6%
N 983
7.5%
Other values (36) 1122
8.6%

city
Text

Distinct48
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T20:50:10.115797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length16
Median length8
Mean length8.371
Min length2

Characters and Unicode

Total characters8371
Distinct characters47
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
new 663
36.9%
york 662
36.8%
bronx 85
 
4.7%
brooklyn 76
 
4.2%
island 40
 
2.2%
oakland 38
 
2.1%
gardens 38
 
2.1%
staten 30
 
1.7%
fresh 20
 
1.1%
meadows 20
 
1.1%
Other values (31) 125
 
7.0%
2023-12-09T20:50:10.508173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 893
10.7%
r 845
10.1%
798
9.5%
e 760
9.1%
k 741
8.9%
N 684
 
8.2%
Y 670
 
8.0%
w 641
 
7.7%
n 356
 
4.3%
a 266
 
3.2%
Other values (37) 1717
20.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5428
64.8%
Uppercase Letter 2145
 
25.6%
Space Separator 798
 
9.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 684
31.9%
Y 670
31.2%
B 164
 
7.6%
O 99
 
4.6%
R 67
 
3.1%
E 61
 
2.8%
K 53
 
2.5%
W 52
 
2.4%
I 42
 
2.0%
G 40
 
1.9%
Other values (14) 213
 
9.9%
Lowercase Letter
ValueCountFrequency (%)
o 893
16.5%
r 845
15.6%
e 760
14.0%
k 741
13.7%
w 641
11.8%
n 356
 
6.6%
a 266
 
4.9%
l 178
 
3.3%
s 154
 
2.8%
d 136
 
2.5%
Other values (12) 458
8.4%
Space Separator
ValueCountFrequency (%)
798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7573
90.5%
Common 798
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 893
11.8%
r 845
11.2%
e 760
10.0%
k 741
9.8%
N 684
9.0%
Y 670
8.8%
w 641
8.5%
n 356
 
4.7%
a 266
 
3.5%
l 178
 
2.4%
Other values (36) 1539
20.3%
Common
ValueCountFrequency (%)
798
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 893
10.7%
r 845
10.1%
798
9.5%
e 760
9.1%
k 741
8.9%
N 684
 
8.2%
Y 670
 
8.0%
w 641
 
7.7%
n 356
 
4.3%
a 266
 
3.2%
Other values (37) 1717
20.5%

county
Text

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:50:10.715554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length24
Median length13
Mean length11.288
Min length2

Characters and Unicode

Total characters11288
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 733
40.2%
available 733
40.2%
new 80
 
4.4%
york 80
 
4.4%
bronx 43
 
2.4%
manhattan 39
 
2.1%
usa 35
 
1.9%
queens 29
 
1.6%
kings 24
 
1.3%
states 7
 
0.4%
Other values (10) 20
 
1.1%
2023-12-09T20:50:11.048056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1591
14.1%
l 1467
13.0%
e 884
7.8%
o 862
7.6%
t 831
7.4%
824
7.3%
N 819
7.3%
A 770
6.8%
i 767
6.8%
v 733
6.5%
Other values (28) 1740
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8558
75.8%
Uppercase Letter 1901
 
16.8%
Space Separator 824
 
7.3%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1591
18.6%
l 1467
17.1%
e 884
10.3%
o 862
10.1%
t 831
9.7%
i 767
9.0%
v 733
8.6%
b 733
8.6%
n 182
 
2.1%
r 125
 
1.5%
Other values (12) 383
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 819
43.1%
A 770
40.5%
Y 83
 
4.4%
B 46
 
2.4%
S 42
 
2.2%
U 42
 
2.2%
M 39
 
2.1%
Q 29
 
1.5%
K 23
 
1.2%
R 2
 
0.1%
Other values (4) 6
 
0.3%
Space Separator
ValueCountFrequency (%)
824
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10459
92.7%
Common 829
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1591
15.2%
l 1467
14.0%
e 884
8.5%
o 862
8.2%
t 831
7.9%
N 819
7.8%
A 770
7.4%
i 767
7.3%
v 733
7.0%
b 733
7.0%
Other values (26) 1002
9.6%
Common
ValueCountFrequency (%)
824
99.4%
. 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1591
14.1%
l 1467
13.0%
e 884
7.8%
o 862
7.6%
t 831
7.4%
824
7.3%
N 819
7.3%
A 770
6.8%
i 767
6.8%
v 733
6.5%
Other values (28) 1740
15.4%
Distinct149
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:50:11.342243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.029
Min length5

Characters and Unicode

Total characters5029
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)5.9%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 68
 
6.8%
10019 51
 
5.1%
10017 42
 
4.2%
11364 38
 
3.8%
10016 36
 
3.6%
10018 31
 
3.1%
10036 25
 
2.5%
10024 24
 
2.4%
10013 24
 
2.4%
10001 24
 
2.4%
Other values (139) 637
63.7%
2023-12-09T20:50:11.765460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1710
34.0%
0 1604
31.9%
2 426
 
8.5%
3 332
 
6.6%
6 248
 
4.9%
4 234
 
4.7%
5 175
 
3.5%
8 110
 
2.2%
7 101
 
2.0%
9 88
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5028
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1710
34.0%
0 1604
31.9%
2 426
 
8.5%
3 332
 
6.6%
6 248
 
4.9%
4 234
 
4.7%
5 175
 
3.5%
8 110
 
2.2%
7 101
 
2.0%
9 88
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5029
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1710
34.0%
0 1604
31.9%
2 426
 
8.5%
3 332
 
6.6%
6 248
 
4.9%
4 234
 
4.7%
5 175
 
3.5%
8 110
 
2.2%
7 101
 
2.0%
9 88
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1710
34.0%
0 1604
31.9%
2 426
 
8.5%
3 332
 
6.6%
6 248
 
4.9%
4 234
 
4.7%
5 175
 
3.5%
8 110
 
2.2%
7 101
 
2.0%
9 88
 
1.7%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size70.0 KiB
2023-12-09T20:50:12.005616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length14.57
Min length5

Characters and Unicode

Total characters14570
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
multifamily 514
30.2%
housing 514
30.2%
office 344
20.2%
25
 
1.5%
store 23
 
1.3%
retail 23
 
1.3%
medical 20
 
1.2%
hotel 16
 
0.9%
other 16
 
0.9%
self-storage 14
 
0.8%
Other values (33) 195
 
11.4%
2023-12-09T20:50:12.383655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2106
14.5%
l 1229
 
8.4%
f 1223
 
8.4%
u 1074
 
7.4%
t 723
 
5.0%
704
 
4.8%
a 700
 
4.8%
o 677
 
4.6%
e 652
 
4.5%
n 628
 
4.3%
Other values (37) 4854
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12009
82.4%
Uppercase Letter 1729
 
11.9%
Space Separator 704
 
4.8%
Dash Punctuation 42
 
0.3%
Other Punctuation 42
 
0.3%
Decimal Number 18
 
0.1%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2106
17.5%
l 1229
10.2%
f 1223
10.2%
u 1074
8.9%
t 723
 
6.0%
a 700
 
5.8%
o 677
 
5.6%
e 652
 
5.4%
n 628
 
5.2%
s 574
 
4.8%
Other values (12) 2423
20.2%
Uppercase Letter
ValueCountFrequency (%)
H 555
32.1%
M 535
30.9%
O 362
20.9%
S 82
 
4.7%
R 42
 
2.4%
C 35
 
2.0%
F 22
 
1.3%
D 18
 
1.0%
G 13
 
0.8%
U 12
 
0.7%
Other values (7) 53
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 29
69.0%
& 13
31.0%
Decimal Number
ValueCountFrequency (%)
1 9
50.0%
2 9
50.0%
Space Separator
ValueCountFrequency (%)
704
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13738
94.3%
Common 832
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2106
15.3%
l 1229
 
8.9%
f 1223
 
8.9%
u 1074
 
7.8%
t 723
 
5.3%
a 700
 
5.1%
o 677
 
4.9%
e 652
 
4.7%
n 628
 
4.6%
s 574
 
4.2%
Other values (29) 4152
30.2%
Common
ValueCountFrequency (%)
704
84.6%
- 42
 
5.0%
/ 29
 
3.5%
) 13
 
1.6%
( 13
 
1.6%
& 13
 
1.6%
1 9
 
1.1%
2 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2106
14.5%
l 1229
 
8.4%
f 1223
 
8.4%
u 1074
 
7.4%
t 723
 
5.0%
704
 
4.8%
a 700
 
4.8%
o 677
 
4.6%
e 652
 
4.5%
n 628
 
4.3%
Other values (37) 4854
33.3%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size70.0 KiB
2023-12-09T20:50:12.626559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length14.531
Min length5

Characters and Unicode

Total characters14531
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
multifamily 513
30.0%
housing 513
30.0%
office 343
20.1%
25
 
1.5%
medical 19
 
1.1%
retail 19
 
1.1%
store 19
 
1.1%
other 18
 
1.1%
hotel 16
 
0.9%
surgical 13
 
0.8%
Other values (29) 211
12.3%
2023-12-09T20:50:13.022936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2097
14.4%
l 1220
 
8.4%
f 1218
 
8.4%
u 1068
 
7.3%
t 710
 
4.9%
709
 
4.9%
a 687
 
4.7%
o 673
 
4.6%
e 656
 
4.5%
n 622
 
4.3%
Other values (37) 4871
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11968
82.4%
Uppercase Letter 1730
 
11.9%
Space Separator 709
 
4.9%
Dash Punctuation 40
 
0.3%
Other Punctuation 40
 
0.3%
Decimal Number 18
 
0.1%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2097
17.5%
l 1220
10.2%
f 1218
10.2%
u 1068
8.9%
t 710
 
5.9%
a 687
 
5.7%
o 673
 
5.6%
e 656
 
5.5%
n 622
 
5.2%
s 578
 
4.8%
Other values (12) 2439
20.4%
Uppercase Letter
ValueCountFrequency (%)
H 553
32.0%
M 541
31.3%
O 361
20.9%
S 75
 
4.3%
R 37
 
2.1%
C 32
 
1.8%
F 21
 
1.2%
U 19
 
1.1%
P 18
 
1.0%
D 17
 
1.0%
Other values (7) 56
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 27
67.5%
& 13
32.5%
Decimal Number
ValueCountFrequency (%)
1 9
50.0%
2 9
50.0%
Space Separator
ValueCountFrequency (%)
709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13698
94.3%
Common 833
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2097
15.3%
l 1220
 
8.9%
f 1218
 
8.9%
u 1068
 
7.8%
t 710
 
5.2%
a 687
 
5.0%
o 673
 
4.9%
e 656
 
4.8%
n 622
 
4.5%
s 578
 
4.2%
Other values (29) 4169
30.4%
Common
ValueCountFrequency (%)
709
85.1%
- 40
 
4.8%
/ 27
 
3.2%
& 13
 
1.6%
( 13
 
1.6%
) 13
 
1.6%
1 9
 
1.1%
2 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2097
14.4%
l 1220
 
8.4%
f 1218
 
8.4%
u 1068
 
7.3%
t 710
 
4.9%
709
 
4.9%
a 687
 
4.7%
o 673
 
4.6%
e 656
 
4.5%
n 622
 
4.3%
Other values (37) 4871
33.5%
Distinct897
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:50:13.470798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.719
Min length4

Characters and Unicode

Total characters5719
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique850 ?
Unique (%)85.0%

Sample

1st row686902
2nd row384432
3rd row572369
4th row362578
5th row1601977
ValueCountFrequency (%)
10875 16
 
1.6%
12150 12
 
1.2%
22033 9
 
0.9%
13800 9
 
0.9%
27600 5
 
0.5%
14900 5
 
0.5%
39667 4
 
0.4%
130000 4
 
0.4%
145000 3
 
0.3%
122204 3
 
0.3%
Other values (888) 932
93.0%
2023-12-09T20:50:14.039918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 944
16.5%
1 787
13.8%
2 557
9.7%
5 555
9.7%
7 534
9.3%
6 494
8.6%
8 482
8.4%
3 468
8.2%
9 441
7.7%
4 431
7.5%
Other values (11) 26
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5693
99.5%
Lowercase Letter 20
 
0.3%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 944
16.6%
1 787
13.8%
2 557
9.8%
5 555
9.7%
7 534
9.4%
6 494
8.7%
8 482
8.5%
3 468
8.2%
9 441
7.7%
4 431
7.6%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5695
99.6%
Latin 24
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 944
16.6%
1 787
13.8%
2 557
9.8%
5 555
9.7%
7 534
9.4%
6 494
8.7%
8 482
8.5%
3 468
8.2%
9 441
7.7%
4 431
7.6%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 944
16.5%
1 787
13.8%
2 557
9.7%
5 555
9.7%
7 534
9.3%
6 494
8.6%
8 482
8.4%
3 468
8.2%
9 441
7.7%
4 431
7.5%
Other values (11) 26
 
0.5%
Distinct19
Distinct (%)1.9%
Missing3
Missing (%)0.3%
Memory size89.6 KiB
2023-12-09T20:50:14.282732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length40
Mean length34.84954865
Min length13

Characters and Unicode

Total characters34745
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowCBECS - Office & Bank/Financial
2nd rowCBECS - Office & Bank/Financial
3rd rowCBECS - Office & Bank/Financial
4th rowCBECS - Office & Bank/Financial
5th rowCBECS - Office & Bank/Financial
ValueCountFrequency (%)
1380
25.6%
fannie 513
 
9.5%
multifamily 513
 
9.5%
mae 513
 
9.5%
survey 513
 
9.5%
industry 513
 
9.5%
cbecs 480
 
8.9%
office 343
 
6.4%
bank/financial 337
 
6.3%
warehouse 23
 
0.4%
Other values (28) 258
 
4.8%
2023-12-09T20:50:14.631671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4389
 
12.6%
i 2706
 
7.8%
a 2697
 
7.8%
n 2686
 
7.7%
e 2231
 
6.4%
u 1591
 
4.6%
y 1576
 
4.5%
l 1496
 
4.3%
t 1258
 
3.6%
r 1252
 
3.6%
Other values (32) 12863
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22302
64.2%
Uppercase Letter 6302
 
18.1%
Space Separator 4389
 
12.6%
Dash Punctuation 995
 
2.9%
Other Punctuation 757
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2706
12.1%
a 2697
12.1%
n 2686
12.0%
e 2231
10.0%
u 1591
7.1%
y 1576
7.1%
l 1496
6.7%
t 1258
 
5.6%
r 1252
 
5.6%
f 1222
 
5.5%
Other values (11) 3587
16.1%
Uppercase Letter
ValueCountFrequency (%)
M 1057
16.8%
S 1034
16.4%
C 982
15.6%
F 850
13.5%
B 817
13.0%
I 542
8.6%
E 496
7.9%
O 358
 
5.7%
H 38
 
0.6%
U 33
 
0.5%
Other values (7) 95
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 385
50.9%
/ 372
49.1%
Space Separator
ValueCountFrequency (%)
4389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28604
82.3%
Common 6141
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2706
 
9.5%
a 2697
 
9.4%
n 2686
 
9.4%
e 2231
 
7.8%
u 1591
 
5.6%
y 1576
 
5.5%
l 1496
 
5.2%
t 1258
 
4.4%
r 1252
 
4.4%
f 1222
 
4.3%
Other values (28) 9889
34.6%
Common
ValueCountFrequency (%)
4389
71.5%
- 995
 
16.2%
& 385
 
6.3%
/ 372
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4389
 
12.6%
i 2706
 
7.8%
a 2697
 
7.8%
n 2686
 
7.7%
e 2231
 
6.4%
u 1591
 
4.6%
y 1576
 
4.5%
l 1496
 
4.3%
t 1258
 
3.6%
r 1252
 
3.6%
Other values (32) 12863
37.0%
Distinct121
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:50:14.972583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
1949 56
 
5.6%
1930 31
 
3.1%
1929 29
 
2.9%
1926 26
 
2.6%
1927 25
 
2.5%
1928 25
 
2.5%
1963 22
 
2.2%
1925 22
 
2.2%
1951 20
 
2.0%
1910 20
 
2.0%
Other values (111) 724
72.4%
2023-12-09T20:50:15.430206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1102
27.6%
1 1073
26.8%
0 385
 
9.6%
2 353
 
8.8%
6 232
 
5.8%
5 212
 
5.3%
3 175
 
4.4%
8 175
 
4.4%
4 162
 
4.0%
7 131
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1102
27.6%
1 1073
26.8%
0 385
 
9.6%
2 353
 
8.8%
6 232
 
5.8%
5 212
 
5.3%
3 175
 
4.4%
8 175
 
4.4%
4 162
 
4.0%
7 131
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1102
27.6%
1 1073
26.8%
0 385
 
9.6%
2 353
 
8.8%
6 232
 
5.8%
5 212
 
5.3%
3 175
 
4.4%
8 175
 
4.4%
4 162
 
4.0%
7 131
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1102
27.6%
1 1073
26.8%
0 385
 
9.6%
2 353
 
8.8%
6 232
 
5.8%
5 212
 
5.3%
3 175
 
4.4%
8 175
 
4.4%
4 162
 
4.0%
7 131
 
3.3%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:50:15.575135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.016
Min length1

Characters and Unicode

Total characters1016
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 957
95.6%
0 33
 
3.3%
12 4
 
0.4%
2 2
 
0.2%
4 1
 
0.1%
not 1
 
0.1%
available 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
2023-12-09T20:50:15.810674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 961
94.6%
0 33
 
3.2%
2 6
 
0.6%
a 2
 
0.2%
l 2
 
0.2%
5 1
 
0.1%
e 1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
A 1
 
0.1%
Other values (7) 7
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1003
98.7%
Lowercase Letter 10
 
1.0%
Uppercase Letter 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
e 1
10.0%
b 1
10.0%
i 1
10.0%
v 1
10.0%
t 1
10.0%
o 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 961
95.8%
0 33
 
3.3%
2 6
 
0.6%
5 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
98.8%
Latin 12
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
e 1
8.3%
b 1
8.3%
i 1
8.3%
A 1
8.3%
v 1
8.3%
t 1
8.3%
o 1
8.3%
N 1
8.3%
Common
ValueCountFrequency (%)
1 961
95.7%
0 33
 
3.3%
2 6
 
0.6%
5 1
 
0.1%
1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 961
94.6%
0 33
 
3.2%
2 6
 
0.6%
a 2
 
0.2%
l 2
 
0.2%
5 1
 
0.1%
e 1
 
0.1%
b 1
 
0.1%
i 1
 
0.1%
A 1
 
0.1%
Other values (7) 7
 
0.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:50:15.940788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.966
Min length2

Characters and Unicode

Total characters2966
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
100 966
96.6%
95 14
 
1.4%
90 8
 
0.8%
70 3
 
0.3%
85 3
 
0.3%
25 2
 
0.2%
60 2
 
0.2%
80 2
 
0.2%
2023-12-09T20:50:16.200353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1947
65.6%
1 966
32.6%
9 22
 
0.7%
5 19
 
0.6%
8 5
 
0.2%
7 3
 
0.1%
2 2
 
0.1%
6 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2966
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1947
65.6%
1 966
32.6%
9 22
 
0.7%
5 19
 
0.6%
8 5
 
0.2%
7 3
 
0.1%
2 2
 
0.1%
6 2
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1947
65.6%
1 966
32.6%
9 22
 
0.7%
5 19
 
0.6%
8 5
 
0.2%
7 3
 
0.1%
2 2
 
0.1%
6 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1947
65.6%
1 966
32.6%
9 22
 
0.7%
5 19
 
0.6%
8 5
 
0.2%
7 3
 
0.1%
2 2
 
0.1%
6 2
 
0.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size69.6 KiB
2023-12-09T20:50:16.673801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length178
Median length14
Mean length14.176
Min length14

Characters and Unicode

Total characters14176
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowWhole Building
2nd rowWhole Building
3rd rowWhole Building
4th rowWhole Building
5th rowWhole Building
ValueCountFrequency (%)
whole 995
49.1%
building 995
49.1%
common 7
 
0.3%
tenant 5
 
0.2%
areas 4
 
0.2%
only 4
 
0.2%
area 4
 
0.2%
hot 2
 
0.1%
water 2
 
0.1%
plug 2
 
0.1%
Other values (3) 6
 
0.3%
2023-12-09T20:50:17.006395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2000
14.1%
i 1998
14.1%
1026
7.2%
o 1021
7.2%
n 1020
7.2%
e 1014
7.2%
g 1001
7.1%
W 997
7.0%
u 997
7.0%
d 997
7.0%
Other values (18) 2105
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11121
78.4%
Uppercase Letter 2020
 
14.2%
Space Separator 1026
 
7.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2000
18.0%
i 1998
18.0%
o 1021
9.2%
n 1020
9.2%
e 1014
9.1%
g 1001
9.0%
u 997
9.0%
d 997
9.0%
h 995
8.9%
a 23
 
0.2%
Other values (6) 55
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
W 997
49.4%
B 995
49.3%
C 9
 
0.4%
T 5
 
0.2%
A 4
 
0.2%
H 4
 
0.2%
P 2
 
0.1%
L 2
 
0.1%
E 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
1026
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13141
92.7%
Common 1035
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2000
15.2%
i 1998
15.2%
o 1021
7.8%
n 1020
7.8%
e 1014
7.7%
g 1001
7.6%
W 997
7.6%
u 997
7.6%
d 997
7.6%
h 995
7.6%
Other values (15) 1101
8.4%
Common
ValueCountFrequency (%)
1026
99.1%
, 7
 
0.7%
/ 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2000
14.1%
i 1998
14.1%
1026
7.2%
o 1021
7.2%
n 1020
7.2%
e 1014
7.2%
g 1001
7.1%
W 997
7.0%
u 997
7.0%
d 997
7.0%
Other values (18) 2105
14.8%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:50:17.335180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length4.271
Min length1

Characters and Unicode

Total characters4271
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row90
2nd row86
3rd row84
4th row75
5th row61
ValueCountFrequency (%)
not 212
 
17.5%
available 212
 
17.5%
1 45
 
3.7%
78 21
 
1.7%
76 20
 
1.7%
79 20
 
1.7%
75 20
 
1.7%
100 20
 
1.7%
82 18
 
1.5%
77 17
 
1.4%
Other values (91) 607
50.1%
2023-12-09T20:50:17.787483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 424
 
9.9%
a 424
 
9.9%
7 221
 
5.2%
N 212
 
5.0%
i 212
 
5.0%
o 212
 
5.0%
b 212
 
5.0%
e 212
 
5.0%
v 212
 
5.0%
A 212
 
5.0%
Other values (11) 1718
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2120
49.6%
Decimal Number 1515
35.5%
Uppercase Letter 424
 
9.9%
Space Separator 212
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 221
14.6%
8 200
13.2%
1 162
10.7%
6 161
10.6%
9 148
9.8%
5 148
9.8%
4 127
8.4%
2 126
8.3%
3 117
7.7%
0 105
6.9%
Lowercase Letter
ValueCountFrequency (%)
l 424
20.0%
a 424
20.0%
i 212
10.0%
o 212
10.0%
b 212
10.0%
e 212
10.0%
v 212
10.0%
t 212
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 212
50.0%
A 212
50.0%
Space Separator
ValueCountFrequency (%)
212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2544
59.6%
Common 1727
40.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 221
12.8%
212
12.3%
8 200
11.6%
1 162
9.4%
6 161
9.3%
9 148
8.6%
5 148
8.6%
4 127
7.4%
2 126
7.3%
3 117
6.8%
Latin
ValueCountFrequency (%)
l 424
16.7%
a 424
16.7%
N 212
8.3%
i 212
8.3%
o 212
8.3%
b 212
8.3%
e 212
8.3%
v 212
8.3%
A 212
8.3%
t 212
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 424
 
9.9%
a 424
 
9.9%
7 221
 
5.2%
N 212
 
5.0%
i 212
 
5.0%
o 212
 
5.0%
b 212
 
5.0%
e 212
 
5.0%
v 212
 
5.0%
A 212
 
5.0%
Other values (11) 1718
40.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:50:17.901053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T20:50:18.120720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct64
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size68.8 KiB
2023-12-09T20:50:18.314422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length70
Median length13
Mean length13.318
Min length4

Characters and Unicode

Total characters13318
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.6%

Sample

1st row2010, 2008, 2006, 2005, 2003, 2002, 2001
2nd row2010, 2008, 2001
3rd row2010, 2008, 2006, 2005, 2003, 2002, 2001
4th row2010, 2008, 2006, 2005, 2003, 2001
5th row2010, 2008, 2006, 2005, 2003, 2002, 2001
ValueCountFrequency (%)
not 868
41.0%
available 868
41.0%
2013 70
 
3.3%
2012 68
 
3.2%
2014 49
 
2.3%
2011 48
 
2.3%
2010 46
 
2.2%
2008 32
 
1.5%
2009 29
 
1.4%
2006 8
 
0.4%
Other values (7) 33
 
1.6%
2023-12-09T20:50:18.635371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1736
13.0%
l 1736
13.0%
1119
8.4%
N 868
 
6.5%
t 868
 
6.5%
A 868
 
6.5%
v 868
 
6.5%
i 868
 
6.5%
b 868
 
6.5%
e 868
 
6.5%
Other values (12) 2651
19.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8680
65.2%
Uppercase Letter 1736
 
13.0%
Decimal Number 1532
 
11.5%
Space Separator 1119
 
8.4%
Other Punctuation 251
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 528
34.5%
2 454
29.6%
1 337
22.0%
3 76
 
5.0%
4 51
 
3.3%
8 32
 
2.1%
9 29
 
1.9%
5 10
 
0.7%
6 8
 
0.5%
7 7
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 1736
20.0%
l 1736
20.0%
t 868
10.0%
v 868
10.0%
i 868
10.0%
b 868
10.0%
e 868
10.0%
o 868
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 868
50.0%
A 868
50.0%
Space Separator
ValueCountFrequency (%)
1119
100.0%
Other Punctuation
ValueCountFrequency (%)
, 251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10416
78.2%
Common 2902
 
21.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1119
38.6%
0 528
18.2%
2 454
15.6%
1 337
 
11.6%
, 251
 
8.6%
3 76
 
2.6%
4 51
 
1.8%
8 32
 
1.1%
9 29
 
1.0%
5 10
 
0.3%
Other values (2) 15
 
0.5%
Latin
ValueCountFrequency (%)
a 1736
16.7%
l 1736
16.7%
N 868
8.3%
t 868
8.3%
A 868
8.3%
v 868
8.3%
i 868
8.3%
b 868
8.3%
e 868
8.3%
o 868
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1736
13.0%
l 1736
13.0%
1119
8.4%
N 868
 
6.5%
t 868
 
6.5%
A 868
 
6.5%
v 868
 
6.5%
i 868
 
6.5%
b 868
 
6.5%
e 868
 
6.5%
Other values (12) 2651
19.9%
Distinct108
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:50:18.978638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.604
Min length10

Characters and Unicode

Total characters12604
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)9.2%

Sample

1st row01/14/2011
2nd row01/14/2011
3rd row01/14/2011
4th row01/14/2011
5th row03/22/2011
ValueCountFrequency (%)
not 868
46.5%
available 868
46.5%
11/29/2013 6
 
0.3%
01/14/2011 4
 
0.2%
01/13/2014 3
 
0.2%
11/27/2013 3
 
0.2%
06/25/2014 3
 
0.2%
09/28/2012 3
 
0.2%
07/29/2014 2
 
0.1%
09/11/2012 2
 
0.1%
Other values (99) 106
 
5.7%
2023-12-09T20:50:19.458309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1736
13.8%
l 1736
13.8%
N 868
 
6.9%
o 868
 
6.9%
t 868
 
6.9%
868
 
6.9%
A 868
 
6.9%
v 868
 
6.9%
i 868
 
6.9%
b 868
 
6.9%
Other values (12) 2188
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8680
68.9%
Uppercase Letter 1736
 
13.8%
Decimal Number 1056
 
8.4%
Space Separator 868
 
6.9%
Other Punctuation 264
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 302
28.6%
0 269
25.5%
2 228
21.6%
4 63
 
6.0%
3 58
 
5.5%
9 31
 
2.9%
5 31
 
2.9%
6 27
 
2.6%
7 26
 
2.5%
8 21
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1736
20.0%
l 1736
20.0%
o 868
10.0%
t 868
10.0%
v 868
10.0%
i 868
10.0%
b 868
10.0%
e 868
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 868
50.0%
A 868
50.0%
Space Separator
ValueCountFrequency (%)
868
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10416
82.6%
Common 2188
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
868
39.7%
1 302
 
13.8%
0 269
 
12.3%
/ 264
 
12.1%
2 228
 
10.4%
4 63
 
2.9%
3 58
 
2.7%
9 31
 
1.4%
5 31
 
1.4%
6 27
 
1.2%
Other values (2) 47
 
2.1%
Latin
ValueCountFrequency (%)
a 1736
16.7%
l 1736
16.7%
N 868
8.3%
o 868
8.3%
t 868
8.3%
A 868
8.3%
v 868
8.3%
i 868
8.3%
b 868
8.3%
e 868
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1736
13.8%
l 1736
13.8%
N 868
 
6.9%
o 868
 
6.9%
t 868
 
6.9%
868
 
6.9%
A 868
 
6.9%
v 868
 
6.9%
i 868
 
6.9%
b 868
 
6.9%
Other values (12) 2188
17.4%
Distinct45
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:50:19.737401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.604
Min length10

Characters and Unicode

Total characters12604
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row08/31/2011
2nd row08/31/2011
3rd row08/31/2011
4th row08/31/2011
5th row08/31/2011
ValueCountFrequency (%)
not 868
46.5%
available 868
46.5%
08/31/2015 23
 
1.2%
07/31/2014 14
 
0.7%
08/31/2011 9
 
0.5%
05/31/2013 8
 
0.4%
02/28/2014 7
 
0.4%
08/31/2014 7
 
0.4%
03/31/2015 5
 
0.3%
04/30/2015 5
 
0.3%
Other values (36) 54
 
2.9%
2023-12-09T20:50:20.137691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1736
13.8%
l 1736
13.8%
N 868
 
6.9%
o 868
 
6.9%
t 868
 
6.9%
868
 
6.9%
A 868
 
6.9%
v 868
 
6.9%
i 868
 
6.9%
b 868
 
6.9%
Other values (12) 2188
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8680
68.9%
Uppercase Letter 1736
 
13.8%
Decimal Number 1056
 
8.4%
Space Separator 868
 
6.9%
Other Punctuation 264
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 288
27.3%
1 252
23.9%
2 176
16.7%
3 145
13.7%
8 59
 
5.6%
5 58
 
5.5%
4 44
 
4.2%
7 16
 
1.5%
6 11
 
1.0%
9 7
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
a 1736
20.0%
l 1736
20.0%
o 868
10.0%
t 868
10.0%
v 868
10.0%
i 868
10.0%
b 868
10.0%
e 868
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 868
50.0%
A 868
50.0%
Space Separator
ValueCountFrequency (%)
868
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10416
82.6%
Common 2188
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
868
39.7%
0 288
 
13.2%
/ 264
 
12.1%
1 252
 
11.5%
2 176
 
8.0%
3 145
 
6.6%
8 59
 
2.7%
5 58
 
2.7%
4 44
 
2.0%
7 16
 
0.7%
Other values (2) 18
 
0.8%
Latin
ValueCountFrequency (%)
a 1736
16.7%
l 1736
16.7%
N 868
8.3%
o 868
8.3%
t 868
8.3%
A 868
8.3%
v 868
8.3%
i 868
8.3%
b 868
8.3%
e 868
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1736
13.8%
l 1736
13.8%
N 868
 
6.9%
o 868
 
6.9%
t 868
 
6.9%
868
 
6.9%
A 868
 
6.9%
v 868
 
6.9%
i 868
 
6.9%
b 868
 
6.9%
Other values (12) 2188
17.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:50:20.272576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.18
Min length2

Characters and Unicode

Total characters2180
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowYes
5th rowNo
ValueCountFrequency (%)
no 820
82.0%
yes 180
 
18.0%
2023-12-09T20:50:20.516348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 820
37.6%
o 820
37.6%
Y 180
 
8.3%
e 180
 
8.3%
s 180
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1180
54.1%
Uppercase Letter 1000
45.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 820
69.5%
e 180
 
15.3%
s 180
 
15.3%
Uppercase Letter
ValueCountFrequency (%)
N 820
82.0%
Y 180
 
18.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2180
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 820
37.6%
o 820
37.6%
Y 180
 
8.3%
e 180
 
8.3%
s 180
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 820
37.6%
o 820
37.6%
Y 180
 
8.3%
e 180
 
8.3%
s 180
 
8.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:20.684370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:50:20.968030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:50:21.079180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.029
Min length2

Characters and Unicode

Total characters2029
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 971
97.1%
yes 29
 
2.9%
2023-12-09T20:50:21.315257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1029
50.7%
Uppercase Letter 1000
49.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 971
94.4%
e 29
 
2.8%
s 29
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
N 971
97.1%
Y 29
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 2029
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%
Distinct625
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:50:21.844471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.762
Min length1

Characters and Unicode

Total characters4762
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)41.7%

Sample

1st row54
2nd row85.3
3rd row67.1
4th row100.6
5th row114.7
ValueCountFrequency (%)
not 70
 
6.5%
available 70
 
6.5%
85.3 8
 
0.7%
65.6 5
 
0.5%
97.8 5
 
0.5%
84.9 5
 
0.5%
80.7 5
 
0.5%
77.8 5
 
0.5%
81.1 4
 
0.4%
70.3 4
 
0.4%
Other values (616) 889
83.1%
2023-12-09T20:50:22.507494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 833
17.5%
1 518
10.9%
8 346
 
7.3%
9 316
 
6.6%
7 316
 
6.6%
6 294
 
6.2%
3 278
 
5.8%
2 259
 
5.4%
5 258
 
5.4%
4 248
 
5.2%
Other values (12) 1096
23.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3019
63.4%
Other Punctuation 833
 
17.5%
Lowercase Letter 700
 
14.7%
Uppercase Letter 140
 
2.9%
Space Separator 70
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 518
17.2%
8 346
11.5%
9 316
10.5%
7 316
10.5%
6 294
9.7%
3 278
9.2%
2 259
8.6%
5 258
8.5%
4 248
8.2%
0 186
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 140
20.0%
l 140
20.0%
t 70
10.0%
o 70
10.0%
e 70
10.0%
b 70
10.0%
i 70
10.0%
v 70
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
50.0%
N 70
50.0%
Other Punctuation
ValueCountFrequency (%)
. 833
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3922
82.4%
Latin 840
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 833
21.2%
1 518
13.2%
8 346
8.8%
9 316
 
8.1%
7 316
 
8.1%
6 294
 
7.5%
3 278
 
7.1%
2 259
 
6.6%
5 258
 
6.6%
4 248
 
6.3%
Other values (2) 256
 
6.5%
Latin
ValueCountFrequency (%)
a 140
16.7%
l 140
16.7%
t 70
8.3%
A 70
8.3%
o 70
8.3%
e 70
8.3%
b 70
8.3%
i 70
8.3%
v 70
8.3%
N 70
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 833
17.5%
1 518
10.9%
8 346
 
7.3%
9 316
 
6.6%
7 316
 
6.6%
6 294
 
6.2%
3 278
 
5.8%
2 259
 
5.4%
5 258
 
5.4%
4 248
 
5.2%
Other values (12) 1096
23.0%
Distinct581
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size61.6 KiB
2023-12-09T20:50:22.977393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length5.964
Min length1

Characters and Unicode

Total characters5964
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)42.1%

Sample

1st row54.2
2nd row83.4
3rd row63.2
4th row96.6
5th row113.6
ValueCountFrequency (%)
not 204
 
16.9%
available 204
 
16.9%
77.8 5
 
0.4%
76.2 5
 
0.4%
127.3 5
 
0.4%
77.3 4
 
0.3%
66.3 4
 
0.3%
71.7 4
 
0.3%
90.9 4
 
0.3%
94.5 4
 
0.3%
Other values (572) 761
63.2%
2023-12-09T20:50:23.609626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 724
 
12.1%
1 440
 
7.4%
a 408
 
6.8%
l 408
 
6.8%
7 302
 
5.1%
8 282
 
4.7%
6 274
 
4.6%
9 256
 
4.3%
3 246
 
4.1%
2 228
 
3.8%
Other values (12) 2396
40.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2588
43.4%
Lowercase Letter 2040
34.2%
Other Punctuation 724
 
12.1%
Uppercase Letter 408
 
6.8%
Space Separator 204
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 440
17.0%
7 302
11.7%
8 282
10.9%
6 274
10.6%
9 256
9.9%
3 246
9.5%
2 228
8.8%
5 212
8.2%
4 203
7.8%
0 145
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 408
20.0%
l 408
20.0%
o 204
10.0%
e 204
10.0%
b 204
10.0%
i 204
10.0%
v 204
10.0%
t 204
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 204
50.0%
A 204
50.0%
Other Punctuation
ValueCountFrequency (%)
. 724
100.0%
Space Separator
ValueCountFrequency (%)
204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3516
59.0%
Latin 2448
41.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 724
20.6%
1 440
12.5%
7 302
8.6%
8 282
 
8.0%
6 274
 
7.8%
9 256
 
7.3%
3 246
 
7.0%
2 228
 
6.5%
5 212
 
6.0%
204
 
5.8%
Other values (2) 348
9.9%
Latin
ValueCountFrequency (%)
a 408
16.7%
l 408
16.7%
N 204
8.3%
o 204
8.3%
e 204
8.3%
b 204
8.3%
i 204
8.3%
v 204
8.3%
A 204
8.3%
t 204
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 724
 
12.1%
1 440
 
7.4%
a 408
 
6.8%
l 408
 
6.8%
7 302
 
5.1%
8 282
 
4.7%
6 274
 
4.6%
9 256
 
4.3%
3 246
 
4.1%
2 228
 
3.8%
Other values (12) 2396
40.2%
Distinct609
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:50:24.122208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.277
Min length2

Characters and Unicode

Total characters4277
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)39.3%

Sample

1st row100
2nd row141
3rd row105.8
4th row136.9
5th row130.9
ValueCountFrequency (%)
59.6 61
 
6.1%
not 7
 
0.7%
available 7
 
0.7%
95.9 7
 
0.7%
95.8 5
 
0.5%
91.2 5
 
0.5%
92.9 5
 
0.5%
121.8 5
 
0.5%
88.4 4
 
0.4%
82.8 4
 
0.4%
Other values (600) 897
89.1%
2023-12-09T20:50:24.752967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 894
20.9%
1 668
15.6%
9 456
10.7%
8 320
 
7.5%
6 311
 
7.3%
2 293
 
6.9%
5 281
 
6.6%
7 278
 
6.5%
3 235
 
5.5%
0 228
 
5.3%
Other values (12) 313
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3292
77.0%
Other Punctuation 894
 
20.9%
Lowercase Letter 70
 
1.6%
Uppercase Letter 14
 
0.3%
Space Separator 7
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 668
20.3%
9 456
13.9%
8 320
9.7%
6 311
9.4%
2 293
8.9%
5 281
8.5%
7 278
8.4%
3 235
 
7.1%
0 228
 
6.9%
4 222
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 14
20.0%
l 14
20.0%
b 7
10.0%
e 7
10.0%
v 7
10.0%
t 7
10.0%
o 7
10.0%
i 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
N 7
50.0%
Other Punctuation
ValueCountFrequency (%)
. 894
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4193
98.0%
Latin 84
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 894
21.3%
1 668
15.9%
9 456
10.9%
8 320
 
7.6%
6 311
 
7.4%
2 293
 
7.0%
5 281
 
6.7%
7 278
 
6.6%
3 235
 
5.6%
0 228
 
5.4%
Other values (2) 229
 
5.5%
Latin
ValueCountFrequency (%)
a 14
16.7%
l 14
16.7%
b 7
8.3%
e 7
8.3%
v 7
8.3%
A 7
8.3%
t 7
8.3%
o 7
8.3%
N 7
8.3%
i 7
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 894
20.9%
1 668
15.6%
9 456
10.7%
8 320
 
7.5%
6 311
 
7.3%
2 293
 
6.9%
5 281
 
6.6%
7 278
 
6.5%
3 235
 
5.5%
0 228
 
5.3%
Other values (12) 313
 
7.3%
Distinct642
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:50:25.279938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length4.882
Min length1

Characters and Unicode

Total characters4882
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)44.7%

Sample

1st row-46.1
2nd row-39.5
3rd row-36.5
4th row-26.5
5th row-12.4
ValueCountFrequency (%)
not 75
 
7.0%
available 75
 
7.0%
17.5 8
 
0.7%
2 7
 
0.7%
12.4 7
 
0.7%
18.3 7
 
0.7%
4.7 6
 
0.6%
22 6
 
0.6%
7.6 6
 
0.6%
4.8 5
 
0.5%
Other values (512) 873
81.2%
2023-12-09T20:50:25.959322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 813
16.7%
- 567
11.6%
2 394
 
8.1%
1 388
 
7.9%
3 337
 
6.9%
4 248
 
5.1%
7 230
 
4.7%
5 225
 
4.6%
6 210
 
4.3%
8 204
 
4.2%
Other values (13) 1266
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2527
51.8%
Other Punctuation 813
 
16.7%
Lowercase Letter 750
 
15.4%
Dash Punctuation 567
 
11.6%
Uppercase Letter 150
 
3.1%
Space Separator 75
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 394
15.6%
1 388
15.4%
3 337
13.3%
4 248
9.8%
7 230
9.1%
5 225
8.9%
6 210
8.3%
8 204
8.1%
9 187
7.4%
0 104
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 150
20.0%
a 150
20.0%
o 75
10.0%
e 75
10.0%
b 75
10.0%
i 75
10.0%
v 75
10.0%
t 75
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 75
50.0%
N 75
50.0%
Other Punctuation
ValueCountFrequency (%)
. 813
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 567
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3982
81.6%
Latin 900
 
18.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 813
20.4%
- 567
14.2%
2 394
9.9%
1 388
9.7%
3 337
8.5%
4 248
 
6.2%
7 230
 
5.8%
5 225
 
5.7%
6 210
 
5.3%
8 204
 
5.1%
Other values (3) 366
9.2%
Latin
ValueCountFrequency (%)
l 150
16.7%
a 150
16.7%
o 75
8.3%
e 75
8.3%
b 75
8.3%
i 75
8.3%
v 75
8.3%
A 75
8.3%
t 75
8.3%
N 75
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 813
16.7%
- 567
11.6%
2 394
 
8.1%
1 388
 
7.9%
3 337
 
6.9%
4 248
 
5.1%
7 230
 
4.7%
5 225
 
4.6%
6 210
 
4.3%
8 204
 
4.2%
Other values (13) 1266
25.9%
Distinct927
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:50:26.309509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.653
Min length6

Characters and Unicode

Total characters9653
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique921 ?
Unique (%)92.1%

Sample

1st row37062507.6
2nd row32784679.8
3rd row38430692.9
4th row36493016.2
5th row183748751.8
ValueCountFrequency (%)
not 68
 
6.4%
available 68
 
6.4%
1221286 3
 
0.3%
41265476.8 2
 
0.2%
67146288.7 2
 
0.2%
152273704.6 2
 
0.2%
32522572.7 2
 
0.2%
36542277.7 1
 
0.1%
1414002.9 1
 
0.1%
11494247.3 1
 
0.1%
Other values (918) 918
86.0%
2023-12-09T20:50:26.806220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 955
9.9%
5 834
8.6%
4 830
8.6%
3 828
8.6%
. 823
8.5%
2 805
8.3%
9 793
8.2%
7 787
8.2%
6 771
8.0%
8 728
7.5%
Other values (12) 1499
15.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7946
82.3%
Other Punctuation 823
 
8.5%
Lowercase Letter 680
 
7.0%
Uppercase Letter 136
 
1.4%
Space Separator 68
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 955
12.0%
5 834
10.5%
4 830
10.4%
3 828
10.4%
2 805
10.1%
9 793
10.0%
7 787
9.9%
6 771
9.7%
8 728
9.2%
0 615
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 136
20.0%
a 136
20.0%
i 68
10.0%
b 68
10.0%
e 68
10.0%
o 68
10.0%
v 68
10.0%
t 68
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 68
50.0%
N 68
50.0%
Other Punctuation
ValueCountFrequency (%)
. 823
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8837
91.5%
Latin 816
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 955
10.8%
5 834
9.4%
4 830
9.4%
3 828
9.4%
. 823
9.3%
2 805
9.1%
9 793
9.0%
7 787
8.9%
6 771
8.7%
8 728
8.2%
Other values (2) 683
7.7%
Latin
ValueCountFrequency (%)
l 136
16.7%
a 136
16.7%
i 68
8.3%
b 68
8.3%
e 68
8.3%
o 68
8.3%
v 68
8.3%
A 68
8.3%
t 68
8.3%
N 68
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 955
9.9%
5 834
8.6%
4 830
8.6%
3 828
8.6%
. 823
8.5%
2 805
8.3%
9 793
8.2%
7 787
8.2%
6 771
8.0%
8 728
7.5%
Other values (12) 1499
15.5%
Distinct793
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T20:50:27.178990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.174
Min length6

Characters and Unicode

Total characters10174
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)78.7%

Sample

1st row37213816
2nd row32045120.2
3rd row36179398.2
4th row35009695.9
5th row181992594
ValueCountFrequency (%)
not 202
 
16.8%
available 202
 
16.8%
1192003.2 3
 
0.2%
65892383.9 2
 
0.2%
31877306.6 2
 
0.2%
146317614.7 2
 
0.2%
41058191.7 2
 
0.2%
4304969.5 1
 
0.1%
10093321.9 1
 
0.1%
54361933.1 1
 
0.1%
Other values (784) 784
65.2%
2023-12-09T20:50:27.698009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 822
 
8.1%
. 720
 
7.1%
5 710
 
7.0%
2 691
 
6.8%
8 690
 
6.8%
3 690
 
6.8%
6 688
 
6.8%
7 684
 
6.7%
4 669
 
6.6%
9 657
 
6.5%
Other values (12) 3153
31.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6828
67.1%
Lowercase Letter 2020
 
19.9%
Other Punctuation 720
 
7.1%
Uppercase Letter 404
 
4.0%
Space Separator 202
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 822
12.0%
5 710
10.4%
2 691
10.1%
8 690
10.1%
3 690
10.1%
6 688
10.1%
7 684
10.0%
4 669
9.8%
9 657
9.6%
0 527
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 404
20.0%
a 404
20.0%
b 202
10.0%
e 202
10.0%
o 202
10.0%
i 202
10.0%
v 202
10.0%
t 202
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 202
50.0%
N 202
50.0%
Other Punctuation
ValueCountFrequency (%)
. 720
100.0%
Space Separator
ValueCountFrequency (%)
202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7750
76.2%
Latin 2424
 
23.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 822
10.6%
. 720
9.3%
5 710
9.2%
2 691
8.9%
8 690
8.9%
3 690
8.9%
6 688
8.9%
7 684
8.8%
4 669
8.6%
9 657
8.5%
Other values (2) 729
9.4%
Latin
ValueCountFrequency (%)
l 404
16.7%
a 404
16.7%
b 202
8.3%
e 202
8.3%
o 202
8.3%
i 202
8.3%
v 202
8.3%
A 202
8.3%
t 202
8.3%
N 202
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 822
 
8.1%
. 720
 
7.1%
5 710
 
7.0%
2 691
 
6.8%
8 690
 
6.8%
3 690
 
6.8%
6 688
 
6.8%
7 684
 
6.7%
4 669
 
6.6%
9 657
 
6.5%
Other values (12) 3153
31.0%
Distinct970
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:50:28.024343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.436
Min length7

Characters and Unicode

Total characters9436
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique960 ?
Unique (%)96.0%

Sample

1st row68706510.5
2nd row54189352.3
3rd row60538940.1
4th row49638181.8
5th row209651637
ValueCountFrequency (%)
724362.9 9
 
0.9%
648349.5 8
 
0.8%
not 7
 
0.7%
available 7
 
0.7%
1324991.3 3
 
0.3%
888313.3 3
 
0.3%
44589233 2
 
0.2%
218361733.1 2
 
0.2%
42696332.3 2
 
0.2%
4034969.6 2
 
0.2%
Other values (961) 962
95.5%
2023-12-09T20:50:28.497758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1032
10.9%
2 913
9.7%
. 880
9.3%
3 878
9.3%
4 861
9.1%
6 835
8.8%
9 821
8.7%
5 821
8.7%
7 815
8.6%
8 779
8.3%
Other values (12) 801
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8465
89.7%
Other Punctuation 880
 
9.3%
Lowercase Letter 70
 
0.7%
Uppercase Letter 14
 
0.1%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1032
12.2%
2 913
10.8%
3 878
10.4%
4 861
10.2%
6 835
9.9%
9 821
9.7%
5 821
9.7%
7 815
9.6%
8 779
9.2%
0 710
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 14
20.0%
l 14
20.0%
o 7
10.0%
v 7
10.0%
i 7
10.0%
b 7
10.0%
e 7
10.0%
t 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
N 7
50.0%
Other Punctuation
ValueCountFrequency (%)
. 880
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9352
99.1%
Latin 84
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1032
11.0%
2 913
9.8%
. 880
9.4%
3 878
9.4%
4 861
9.2%
6 835
8.9%
9 821
8.8%
5 821
8.8%
7 815
8.7%
8 779
8.3%
Other values (2) 717
7.7%
Latin
ValueCountFrequency (%)
a 14
16.7%
l 14
16.7%
o 7
8.3%
A 7
8.3%
v 7
8.3%
i 7
8.3%
b 7
8.3%
e 7
8.3%
N 7
8.3%
t 7
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1032
10.9%
2 913
9.7%
. 880
9.3%
3 878
9.3%
4 861
9.1%
6 835
8.8%
9 821
8.7%
5 821
8.7%
7 815
8.6%
8 779
8.3%
Other values (12) 801
8.5%
Distinct267
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
2023-12-09T20:50:29.007473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.163
Min length1

Characters and Unicode

Total characters4163
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)9.7%

Sample

1st row15.4
2nd row12.7
3rd row12.6
4th row15
5th row23.2
ValueCountFrequency (%)
not 90
 
8.3%
available 90
 
8.3%
4.5 16
 
1.5%
4.4 16
 
1.5%
4.1 15
 
1.4%
4.2 14
 
1.3%
4 13
 
1.2%
5.6 12
 
1.1%
6.4 12
 
1.1%
3.9 12
 
1.1%
Other values (258) 800
73.4%
2023-12-09T20:50:29.650984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 820
19.7%
1 464
11.1%
4 300
 
7.2%
3 235
 
5.6%
5 234
 
5.6%
2 233
 
5.6%
6 218
 
5.2%
a 180
 
4.3%
l 180
 
4.3%
7 150
 
3.6%
Other values (12) 1149
27.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2173
52.2%
Lowercase Letter 900
21.6%
Other Punctuation 820
 
19.7%
Uppercase Letter 180
 
4.3%
Space Separator 90
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 464
21.4%
4 300
13.8%
3 235
10.8%
5 234
10.8%
2 233
10.7%
6 218
10.0%
7 150
 
6.9%
8 150
 
6.9%
9 128
 
5.9%
0 61
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 180
20.0%
l 180
20.0%
o 90
10.0%
e 90
10.0%
b 90
10.0%
i 90
10.0%
v 90
10.0%
t 90
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 90
50.0%
A 90
50.0%
Other Punctuation
ValueCountFrequency (%)
. 820
100.0%
Space Separator
ValueCountFrequency (%)
90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3083
74.1%
Latin 1080
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 820
26.6%
1 464
15.1%
4 300
 
9.7%
3 235
 
7.6%
5 234
 
7.6%
2 233
 
7.6%
6 218
 
7.1%
7 150
 
4.9%
8 150
 
4.9%
9 128
 
4.2%
Other values (2) 151
 
4.9%
Latin
ValueCountFrequency (%)
a 180
16.7%
l 180
16.7%
N 90
8.3%
o 90
8.3%
e 90
8.3%
b 90
8.3%
i 90
8.3%
v 90
8.3%
A 90
8.3%
t 90
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 820
19.7%
1 464
11.1%
4 300
 
7.2%
3 235
 
5.6%
5 234
 
5.6%
2 233
 
5.6%
6 218
 
5.2%
a 180
 
4.3%
l 180
 
4.3%
7 150
 
3.6%
Other values (12) 1149
27.6%
Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:50:29.893751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.976
Min length1

Characters and Unicode

Total characters4976
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row0.3
ValueCountFrequency (%)
not 249
19.9%
available 249
19.9%
0 245
19.6%
0.1 71
 
5.7%
0.6 66
 
5.3%
0.5 59
 
4.7%
0.7 47
 
3.8%
0.3 43
 
3.4%
0.8 40
 
3.2%
0.2 38
 
3.0%
Other values (32) 142
11.4%
2023-12-09T20:50:30.601269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 669
13.4%
l 498
 
10.0%
a 498
 
10.0%
. 492
 
9.9%
o 249
 
5.0%
e 249
 
5.0%
b 249
 
5.0%
N 249
 
5.0%
i 249
 
5.0%
v 249
 
5.0%
Other values (12) 1325
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2490
50.0%
Decimal Number 1247
25.1%
Uppercase Letter 498
 
10.0%
Other Punctuation 492
 
9.9%
Space Separator 249
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 669
53.6%
1 146
 
11.7%
6 70
 
5.6%
2 68
 
5.5%
3 65
 
5.2%
5 63
 
5.1%
7 54
 
4.3%
4 43
 
3.4%
8 41
 
3.3%
9 28
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
l 498
20.0%
a 498
20.0%
o 249
10.0%
e 249
10.0%
b 249
10.0%
i 249
10.0%
v 249
10.0%
t 249
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 249
50.0%
A 249
50.0%
Other Punctuation
ValueCountFrequency (%)
. 492
100.0%
Space Separator
ValueCountFrequency (%)
249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2988
60.0%
Common 1988
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 669
33.7%
. 492
24.7%
249
 
12.5%
1 146
 
7.3%
6 70
 
3.5%
2 68
 
3.4%
3 65
 
3.3%
5 63
 
3.2%
7 54
 
2.7%
4 43
 
2.2%
Other values (2) 69
 
3.5%
Latin
ValueCountFrequency (%)
l 498
16.7%
a 498
16.7%
o 249
8.3%
e 249
8.3%
b 249
8.3%
N 249
8.3%
i 249
8.3%
v 249
8.3%
A 249
8.3%
t 249
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 669
13.4%
l 498
 
10.0%
a 498
 
10.0%
. 492
 
9.9%
o 249
 
5.0%
e 249
 
5.0%
b 249
 
5.0%
N 249
 
5.0%
i 249
 
5.0%
v 249
 
5.0%
Other values (12) 1325
26.6%
Distinct761
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
2023-12-09T20:50:31.037768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.283
Min length2

Characters and Unicode

Total characters5283
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)61.9%

Sample

1st row166.1
2nd row186.8
3rd row164.6
4th row220.7
5th row287
ValueCountFrequency (%)
not 70
 
6.5%
available 70
 
6.5%
117.9 5
 
0.5%
122.4 4
 
0.4%
132.4 4
 
0.4%
114.5 3
 
0.3%
198.7 3
 
0.3%
210.8 3
 
0.3%
208.5 3
 
0.3%
746.8 3
 
0.3%
Other values (752) 902
84.3%
2023-12-09T20:50:31.602413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 838
15.9%
1 797
15.1%
2 529
10.0%
3 337
 
6.4%
8 301
 
5.7%
4 298
 
5.6%
6 288
 
5.5%
9 278
 
5.3%
7 265
 
5.0%
5 256
 
4.8%
Other values (12) 1096
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3535
66.9%
Other Punctuation 838
 
15.9%
Lowercase Letter 700
 
13.3%
Uppercase Letter 140
 
2.7%
Space Separator 70
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 797
22.5%
2 529
15.0%
3 337
9.5%
8 301
 
8.5%
4 298
 
8.4%
6 288
 
8.1%
9 278
 
7.9%
7 265
 
7.5%
5 256
 
7.2%
0 186
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 140
20.0%
a 140
20.0%
e 70
10.0%
o 70
10.0%
b 70
10.0%
i 70
10.0%
v 70
10.0%
t 70
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 70
50.0%
N 70
50.0%
Other Punctuation
ValueCountFrequency (%)
. 838
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4443
84.1%
Latin 840
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 838
18.9%
1 797
17.9%
2 529
11.9%
3 337
7.6%
8 301
 
6.8%
4 298
 
6.7%
6 288
 
6.5%
9 278
 
6.3%
7 265
 
6.0%
5 256
 
5.8%
Other values (2) 256
 
5.8%
Latin
ValueCountFrequency (%)
l 140
16.7%
a 140
16.7%
e 70
8.3%
o 70
8.3%
b 70
8.3%
i 70
8.3%
v 70
8.3%
A 70
8.3%
t 70
8.3%
N 70
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 838
15.9%
1 797
15.1%
2 529
10.0%
3 337
 
6.4%
8 301
 
5.7%
4 298
 
5.6%
6 288
 
5.5%
9 278
 
5.3%
7 265
 
5.0%
5 256
 
4.8%
Other values (12) 1096
20.7%
Distinct669
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
2023-12-09T20:50:32.113256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length6.396
Min length2

Characters and Unicode

Total characters6396
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique558 ?
Unique (%)55.8%

Sample

1st row166.8
2nd row184.1
3rd row159.4
4th row215
5th row285.8
ValueCountFrequency (%)
not 204
 
16.9%
available 204
 
16.9%
130.6 4
 
0.3%
168.4 4
 
0.3%
170.7 4
 
0.3%
211.3 3
 
0.2%
121.3 3
 
0.2%
745.4 3
 
0.2%
127.5 3
 
0.2%
164.9 3
 
0.2%
Other values (660) 769
63.9%
2023-12-09T20:50:32.752342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 714
 
11.2%
1 686
 
10.7%
2 460
 
7.2%
a 408
 
6.4%
l 408
 
6.4%
3 282
 
4.4%
9 256
 
4.0%
7 245
 
3.8%
4 243
 
3.8%
8 232
 
3.6%
Other values (12) 2462
38.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3030
47.4%
Lowercase Letter 2040
31.9%
Other Punctuation 714
 
11.2%
Uppercase Letter 408
 
6.4%
Space Separator 204
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 686
22.6%
2 460
15.2%
3 282
9.3%
9 256
 
8.4%
7 245
 
8.1%
4 243
 
8.0%
8 232
 
7.7%
5 232
 
7.7%
6 218
 
7.2%
0 176
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 408
20.0%
l 408
20.0%
i 204
10.0%
v 204
10.0%
b 204
10.0%
e 204
10.0%
o 204
10.0%
t 204
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 204
50.0%
N 204
50.0%
Other Punctuation
ValueCountFrequency (%)
. 714
100.0%
Space Separator
ValueCountFrequency (%)
204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3948
61.7%
Latin 2448
38.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 714
18.1%
1 686
17.4%
2 460
11.7%
3 282
 
7.1%
9 256
 
6.5%
7 245
 
6.2%
4 243
 
6.2%
8 232
 
5.9%
5 232
 
5.9%
6 218
 
5.5%
Other values (2) 380
9.6%
Latin
ValueCountFrequency (%)
a 408
16.7%
l 408
16.7%
i 204
8.3%
v 204
8.3%
b 204
8.3%
e 204
8.3%
o 204
8.3%
A 204
8.3%
t 204
8.3%
N 204
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 714
 
11.2%
1 686
 
10.7%
2 460
 
7.2%
a 408
 
6.4%
l 408
 
6.4%
3 282
 
4.4%
9 256
 
4.0%
7 245
 
3.8%
4 243
 
3.8%
8 232
 
3.6%
Other values (12) 2462
38.5%
Distinct611
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:50:33.226063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.875
Min length2

Characters and Unicode

Total characters4875
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique486 ?
Unique (%)48.6%

Sample

1st row307.9
2nd row308.8
3rd row259.3
4th row300.2
5th row327.5
ValueCountFrequency (%)
127.9 124
 
12.3%
119.8 31
 
3.1%
148.1 26
 
2.6%
123.1 13
 
1.3%
47.6 13
 
1.3%
262.6 10
 
1.0%
129.7 10
 
1.0%
136.4 7
 
0.7%
not 7
 
0.7%
available 7
 
0.7%
Other values (602) 759
75.4%
2023-12-09T20:50:33.834697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 916
18.8%
1 884
18.1%
2 699
14.3%
3 391
8.0%
4 348
 
7.1%
9 347
 
7.1%
7 344
 
7.1%
8 268
 
5.5%
6 265
 
5.4%
5 197
 
4.0%
Other values (12) 216
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3868
79.3%
Other Punctuation 916
 
18.8%
Lowercase Letter 70
 
1.4%
Uppercase Letter 14
 
0.3%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 884
22.9%
2 699
18.1%
3 391
10.1%
4 348
 
9.0%
9 347
 
9.0%
7 344
 
8.9%
8 268
 
6.9%
6 265
 
6.9%
5 197
 
5.1%
0 125
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 14
20.0%
l 14
20.0%
o 7
10.0%
v 7
10.0%
i 7
10.0%
b 7
10.0%
e 7
10.0%
t 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
N 7
50.0%
Other Punctuation
ValueCountFrequency (%)
. 916
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4791
98.3%
Latin 84
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 916
19.1%
1 884
18.5%
2 699
14.6%
3 391
8.2%
4 348
 
7.3%
9 347
 
7.2%
7 344
 
7.2%
8 268
 
5.6%
6 265
 
5.5%
5 197
 
4.1%
Other values (2) 132
 
2.8%
Latin
ValueCountFrequency (%)
a 14
16.7%
l 14
16.7%
o 7
8.3%
A 7
8.3%
v 7
8.3%
i 7
8.3%
b 7
8.3%
e 7
8.3%
N 7
8.3%
t 7
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 916
18.8%
1 884
18.1%
2 699
14.3%
3 391
8.0%
4 348
 
7.1%
9 347
 
7.1%
7 344
 
7.1%
8 268
 
5.5%
6 265
 
5.4%
5 197
 
4.0%
Other values (12) 216
 
4.4%
Distinct642
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:50:34.364702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length4.882
Min length1

Characters and Unicode

Total characters4882
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)44.7%

Sample

1st row-46.1
2nd row-39.5
3rd row-36.5
4th row-26.5
5th row-12.4
ValueCountFrequency (%)
not 75
 
7.0%
available 75
 
7.0%
2 7
 
0.7%
17.5 7
 
0.7%
18.3 7
 
0.7%
12.4 7
 
0.7%
22 6
 
0.6%
4.7 6
 
0.6%
7.6 6
 
0.6%
32.9 5
 
0.5%
Other values (512) 874
81.3%
2023-12-09T20:50:35.046213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 813
16.7%
- 567
11.6%
2 394
 
8.1%
1 388
 
7.9%
3 337
 
6.9%
4 249
 
5.1%
7 230
 
4.7%
5 224
 
4.6%
6 210
 
4.3%
8 204
 
4.2%
Other values (13) 1266
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2527
51.8%
Other Punctuation 813
 
16.7%
Lowercase Letter 750
 
15.4%
Dash Punctuation 567
 
11.6%
Uppercase Letter 150
 
3.1%
Space Separator 75
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 394
15.6%
1 388
15.4%
3 337
13.3%
4 249
9.9%
7 230
9.1%
5 224
8.9%
6 210
8.3%
8 204
8.1%
9 187
7.4%
0 104
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 150
20.0%
l 150
20.0%
o 75
10.0%
e 75
10.0%
b 75
10.0%
i 75
10.0%
v 75
10.0%
t 75
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 75
50.0%
N 75
50.0%
Other Punctuation
ValueCountFrequency (%)
. 813
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 567
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3982
81.6%
Latin 900
 
18.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 813
20.4%
- 567
14.2%
2 394
9.9%
1 388
9.7%
3 337
8.5%
4 249
 
6.3%
7 230
 
5.8%
5 224
 
5.6%
6 210
 
5.3%
8 204
 
5.1%
Other values (3) 366
9.2%
Latin
ValueCountFrequency (%)
a 150
16.7%
l 150
16.7%
o 75
8.3%
e 75
8.3%
b 75
8.3%
i 75
8.3%
v 75
8.3%
A 75
8.3%
t 75
8.3%
N 75
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 813
16.7%
- 567
11.6%
2 394
 
8.1%
1 388
 
7.9%
3 337
 
6.9%
4 249
 
5.1%
7 230
 
4.7%
5 224
 
4.6%
6 210
 
4.3%
8 204
 
4.2%
Other values (13) 1266
25.9%
Distinct927
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:50:35.403629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.951
Min length7

Characters and Unicode

Total characters9951
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique921 ?
Unique (%)92.1%

Sample

1st row114092935.5
2nd row71828630.8
3rd row94200249.9
4th row80020129.4
5th row459772065.2
ValueCountFrequency (%)
not 68
 
6.4%
available 68
 
6.4%
1282350.3 3
 
0.3%
77891689.3 2
 
0.2%
95516399.4 2
 
0.2%
326503958.8 2
 
0.2%
179160052.2 2
 
0.2%
2672420473 1
 
0.1%
41361797.4 1
 
0.1%
27031728.7 1
 
0.1%
Other values (918) 918
86.0%
2023-12-09T20:50:35.880418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1059
10.6%
2 869
8.7%
3 850
8.5%
8 839
8.4%
. 825
8.3%
4 809
8.1%
6 798
8.0%
7 796
8.0%
5 794
8.0%
9 749
7.5%
Other values (12) 1563
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8242
82.8%
Other Punctuation 825
 
8.3%
Lowercase Letter 680
 
6.8%
Uppercase Letter 136
 
1.4%
Space Separator 68
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1059
12.8%
2 869
10.5%
3 850
10.3%
8 839
10.2%
4 809
9.8%
6 798
9.7%
7 796
9.7%
5 794
9.6%
9 749
9.1%
0 679
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 136
20.0%
l 136
20.0%
i 68
10.0%
b 68
10.0%
e 68
10.0%
o 68
10.0%
v 68
10.0%
t 68
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 68
50.0%
N 68
50.0%
Other Punctuation
ValueCountFrequency (%)
. 825
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9135
91.8%
Latin 816
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1059
11.6%
2 869
9.5%
3 850
9.3%
8 839
9.2%
. 825
9.0%
4 809
8.9%
6 798
8.7%
7 796
8.7%
5 794
8.7%
9 749
8.2%
Other values (2) 747
8.2%
Latin
ValueCountFrequency (%)
a 136
16.7%
l 136
16.7%
i 68
8.3%
b 68
8.3%
e 68
8.3%
o 68
8.3%
v 68
8.3%
A 68
8.3%
t 68
8.3%
N 68
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9951
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1059
10.6%
2 869
8.7%
3 850
8.5%
8 839
8.4%
. 825
8.3%
4 809
8.1%
6 798
8.0%
7 796
8.0%
5 794
8.0%
9 749
7.5%
Other values (12) 1563
15.7%
Distinct793
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size65.9 KiB
2023-12-09T20:50:36.237187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.358
Min length7

Characters and Unicode

Total characters10358
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)78.7%

Sample

1st row114568043.7
2nd row70781242.6
3rd row91244404.9
4th row77965782
5th row457845361.6
ValueCountFrequency (%)
not 202
 
16.8%
available 202
 
16.8%
1251603.3 3
 
0.2%
319796341.3 2
 
0.2%
77194613.8 2
 
0.2%
94865524.3 2
 
0.2%
177277707 2
 
0.2%
19290119.5 1
 
0.1%
6662891819 1
 
0.1%
30488697.7 1
 
0.1%
Other values (784) 784
65.2%
2023-12-09T20:50:36.727015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 922
 
8.9%
2 737
 
7.1%
7 716
 
6.9%
3 715
 
6.9%
9 691
 
6.7%
6 688
 
6.6%
. 684
 
6.6%
5 679
 
6.6%
4 672
 
6.5%
8 641
 
6.2%
Other values (12) 3213
31.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7048
68.0%
Lowercase Letter 2020
 
19.5%
Other Punctuation 684
 
6.6%
Uppercase Letter 404
 
3.9%
Space Separator 202
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 922
13.1%
2 737
10.5%
7 716
10.2%
3 715
10.1%
9 691
9.8%
6 688
9.8%
5 679
9.6%
4 672
9.5%
8 641
9.1%
0 587
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 404
20.0%
a 404
20.0%
e 202
10.0%
o 202
10.0%
b 202
10.0%
i 202
10.0%
v 202
10.0%
t 202
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 202
50.0%
N 202
50.0%
Other Punctuation
ValueCountFrequency (%)
. 684
100.0%
Space Separator
ValueCountFrequency (%)
202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7934
76.6%
Latin 2424
 
23.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 922
11.6%
2 737
9.3%
7 716
9.0%
3 715
9.0%
9 691
8.7%
6 688
8.7%
. 684
8.6%
5 679
8.6%
4 672
8.5%
8 641
8.1%
Other values (2) 789
9.9%
Latin
ValueCountFrequency (%)
l 404
16.7%
a 404
16.7%
e 202
8.3%
o 202
8.3%
b 202
8.3%
i 202
8.3%
v 202
8.3%
A 202
8.3%
t 202
8.3%
N 202
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 922
 
8.9%
2 737
 
7.1%
7 716
 
6.9%
3 715
 
6.9%
9 691
 
6.7%
6 688
 
6.6%
. 684
 
6.6%
5 679
 
6.6%
4 672
 
6.5%
8 641
 
6.2%
Other values (12) 3213
31.0%
Distinct931
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T20:50:37.103077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.771
Min length7

Characters and Unicode

Total characters9771
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)90.7%

Sample

1st row211505584.8
2nd row118724578
3rd row148391357.4
4th row108844204.5
5th row524585744.5
ValueCountFrequency (%)
1391240.8 16
 
1.6%
1554351.8 12
 
1.2%
2857269 9
 
0.9%
not 7
 
0.7%
available 7
 
0.7%
3763487.9 5
 
0.5%
1906159.8 5
 
0.5%
17175922.8 3
 
0.3%
11554350.7 3
 
0.3%
4374503 3
 
0.3%
Other values (922) 937
93.0%
2023-12-09T20:50:37.619956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1189
12.2%
2 947
9.7%
5 886
9.1%
. 883
9.0%
3 877
9.0%
4 873
8.9%
8 858
8.8%
7 856
8.8%
9 851
8.7%
6 783
8.0%
Other values (12) 768
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8797
90.0%
Other Punctuation 883
 
9.0%
Lowercase Letter 70
 
0.7%
Uppercase Letter 14
 
0.1%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1189
13.5%
2 947
10.8%
5 886
10.1%
3 877
10.0%
4 873
9.9%
8 858
9.8%
7 856
9.7%
9 851
9.7%
6 783
8.9%
0 677
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 14
20.0%
a 14
20.0%
v 7
10.0%
b 7
10.0%
i 7
10.0%
t 7
10.0%
o 7
10.0%
e 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 7
50.0%
A 7
50.0%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9687
99.1%
Latin 84
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1189
12.3%
2 947
9.8%
5 886
9.1%
. 883
9.1%
3 877
9.1%
4 873
9.0%
8 858
8.9%
7 856
8.8%
9 851
8.8%
6 783
8.1%
Other values (2) 684
7.1%
Latin
ValueCountFrequency (%)
l 14
16.7%
a 14
16.7%
v 7
8.3%
b 7
8.3%
i 7
8.3%
N 7
8.3%
A 7
8.3%
t 7
8.3%
o 7
8.3%
e 7
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1189
12.2%
2 947
9.7%
5 886
9.1%
. 883
9.0%
3 877
9.0%
4 873
8.9%
8 858
8.8%
7 856
8.8%
9 851
8.7%
6 783
8.0%
Other values (12) 768
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:37.812596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99
Min length7

Characters and Unicode

Total characters12990
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
3692674 1
 
0.1%
8272306.7 1
 
0.1%
2023-12-09T20:50:38.128474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1014
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 15
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
6 3
20.0%
2 3
20.0%
7 3
20.0%
3 2
13.3%
9 1
 
6.7%
4 1
 
6.7%
8 1
 
6.7%
0 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1014
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.4%
6 3
 
0.3%
2 3
 
0.3%
7 3
 
0.3%
3 2
 
0.2%
9 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
0 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1014
7.8%
Distinct132
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:50:38.529365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.152
Min length1

Characters and Unicode

Total characters12152
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)12.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 847
45.9%
available 847
45.9%
0 22
 
1.2%
13711803.9 2
 
0.1%
2212248.8 1
 
0.1%
9825462.1 1
 
0.1%
1013748.1 1
 
0.1%
2914983 1
 
0.1%
552137.9 1
 
0.1%
1174476.6 1
 
0.1%
Other values (123) 123
 
6.7%
2023-12-09T20:50:39.061209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1694
13.9%
l 1694
13.9%
N 847
7.0%
t 847
7.0%
847
7.0%
A 847
7.0%
v 847
7.0%
i 847
7.0%
b 847
7.0%
e 847
7.0%
Other values (12) 1988
16.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8470
69.7%
Uppercase Letter 1694
 
13.9%
Decimal Number 1035
 
8.5%
Space Separator 847
 
7.0%
Other Punctuation 106
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 134
12.9%
0 120
11.6%
9 117
11.3%
2 105
10.1%
4 104
10.0%
5 100
9.7%
7 94
9.1%
3 92
8.9%
6 89
8.6%
8 80
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1694
20.0%
l 1694
20.0%
t 847
10.0%
v 847
10.0%
i 847
10.0%
b 847
10.0%
e 847
10.0%
o 847
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 847
50.0%
A 847
50.0%
Space Separator
ValueCountFrequency (%)
847
100.0%
Other Punctuation
ValueCountFrequency (%)
. 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10164
83.6%
Common 1988
 
16.4%

Most frequent character per script

Common
ValueCountFrequency (%)
847
42.6%
1 134
 
6.7%
0 120
 
6.0%
9 117
 
5.9%
. 106
 
5.3%
2 105
 
5.3%
4 104
 
5.2%
5 100
 
5.0%
7 94
 
4.7%
3 92
 
4.6%
Other values (2) 169
 
8.5%
Latin
ValueCountFrequency (%)
a 1694
16.7%
l 1694
16.7%
N 847
8.3%
t 847
8.3%
A 847
8.3%
v 847
8.3%
i 847
8.3%
b 847
8.3%
e 847
8.3%
o 847
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1694
13.9%
l 1694
13.9%
N 847
7.0%
t 847
7.0%
847
7.0%
A 847
7.0%
v 847
7.0%
i 847
7.0%
b 847
7.0%
e 847
7.0%
Other values (12) 1988
16.4%
Distinct91
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:50:39.411541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.605
Min length1

Characters and Unicode

Total characters12605
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)9.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 910
47.6%
available 910
47.6%
1825043.8 1
 
0.1%
3180609.9 1
 
0.1%
2220806.2 1
 
0.1%
1898147.4 1
 
0.1%
4041608.3 1
 
0.1%
3890498.6 1
 
0.1%
5307976 1
 
0.1%
6468237.9 1
 
0.1%
Other values (82) 82
 
4.3%
2023-12-09T20:50:39.890336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1820
14.4%
l 1820
14.4%
N 910
7.2%
t 910
7.2%
910
7.2%
A 910
7.2%
v 910
7.2%
i 910
7.2%
b 910
7.2%
e 910
7.2%
Other values (12) 1685
13.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9100
72.2%
Uppercase Letter 1820
 
14.4%
Space Separator 910
 
7.2%
Decimal Number 702
 
5.6%
Other Punctuation 73
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 91
13.0%
8 76
10.8%
1 76
10.8%
5 71
10.1%
7 70
10.0%
3 69
9.8%
9 69
9.8%
6 66
9.4%
2 65
9.3%
0 49
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 1820
20.0%
l 1820
20.0%
t 910
10.0%
v 910
10.0%
i 910
10.0%
b 910
10.0%
e 910
10.0%
o 910
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 910
50.0%
A 910
50.0%
Space Separator
ValueCountFrequency (%)
910
100.0%
Other Punctuation
ValueCountFrequency (%)
. 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10920
86.6%
Common 1685
 
13.4%

Most frequent character per script

Common
ValueCountFrequency (%)
910
54.0%
4 91
 
5.4%
8 76
 
4.5%
1 76
 
4.5%
. 73
 
4.3%
5 71
 
4.2%
7 70
 
4.2%
3 69
 
4.1%
9 69
 
4.1%
6 66
 
3.9%
Other values (2) 114
 
6.8%
Latin
ValueCountFrequency (%)
a 1820
16.7%
l 1820
16.7%
N 910
8.3%
t 910
8.3%
A 910
8.3%
v 910
8.3%
i 910
8.3%
b 910
8.3%
e 910
8.3%
o 910
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1820
14.4%
l 1820
14.4%
N 910
7.2%
t 910
7.2%
910
7.2%
A 910
7.2%
v 910
7.2%
i 910
7.2%
b 910
7.2%
e 910
7.2%
Other values (12) 1685
13.4%
Distinct69
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:50:40.227856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.602
Min length1

Characters and Unicode

Total characters12602
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)6.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 923
48.0%
available 923
48.0%
0 10
 
0.5%
1742071.4 1
 
0.1%
4791710.6 1
 
0.1%
18501237.1 1
 
0.1%
7894920 1
 
0.1%
23018718.8 1
 
0.1%
10679849.8 1
 
0.1%
21005360.2 1
 
0.1%
Other values (60) 60
 
3.1%
2023-12-09T20:50:40.670335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1846
14.6%
l 1846
14.6%
N 923
7.3%
t 923
7.3%
923
7.3%
A 923
7.3%
v 923
7.3%
i 923
7.3%
b 923
7.3%
e 923
7.3%
Other values (12) 1526
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9230
73.2%
Uppercase Letter 1846
 
14.6%
Space Separator 923
 
7.3%
Decimal Number 548
 
4.3%
Other Punctuation 55
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 74
13.5%
0 71
13.0%
5 62
11.3%
9 59
10.8%
4 49
8.9%
3 48
8.8%
8 48
8.8%
7 47
8.6%
6 47
8.6%
2 43
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1846
20.0%
l 1846
20.0%
t 923
10.0%
v 923
10.0%
i 923
10.0%
b 923
10.0%
e 923
10.0%
o 923
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 923
50.0%
A 923
50.0%
Space Separator
ValueCountFrequency (%)
923
100.0%
Other Punctuation
ValueCountFrequency (%)
. 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11076
87.9%
Common 1526
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
923
60.5%
1 74
 
4.8%
0 71
 
4.7%
5 62
 
4.1%
9 59
 
3.9%
. 55
 
3.6%
4 49
 
3.2%
3 48
 
3.1%
8 48
 
3.1%
7 47
 
3.1%
Other values (2) 90
 
5.9%
Latin
ValueCountFrequency (%)
a 1846
16.7%
l 1846
16.7%
N 923
8.3%
t 923
8.3%
A 923
8.3%
v 923
8.3%
i 923
8.3%
b 923
8.3%
e 923
8.3%
o 923
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1846
14.6%
l 1846
14.6%
N 923
7.3%
t 923
7.3%
923
7.3%
A 923
7.3%
v 923
7.3%
i 923
7.3%
b 923
7.3%
e 923
7.3%
Other values (12) 1526
12.1%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:50:40.860474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length1

Characters and Unicode

Total characters12941
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 3
 
0.2%
412897.5 1
 
0.1%
1120559.8 1
 
0.1%
255424.2 1
 
0.1%
577805.9 1
 
0.1%
2208055.2 1
 
0.1%
2023-12-09T20:50:41.161154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1037
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 40
 
0.3%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Decimal Number
ValueCountFrequency (%)
5 9
22.5%
2 8
20.0%
0 7
17.5%
8 4
10.0%
4 3
 
7.5%
1 3
 
7.5%
9 3
 
7.5%
7 3
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.0%
Common 1037
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
95.7%
5 9
 
0.9%
2 8
 
0.8%
0 7
 
0.7%
. 5
 
0.5%
8 4
 
0.4%
4 3
 
0.3%
1 3
 
0.3%
9 3
 
0.3%
7 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1037
8.0%

kerosene_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:41.329929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:50:41.607214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:41.774284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:50:42.062866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:42.235117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:50:42.520036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct269
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:50:42.865316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.041
Min length1

Characters and Unicode

Total characters12041
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)26.3%

Sample

1st row1178826.5
2nd row16063977.2
3rd row13666849.5
4th row17846502.3
5th row8553593.9
ValueCountFrequency (%)
not 727
42.1%
available 727
42.1%
78285333.4 2
 
0.1%
12508881.3 2
 
0.1%
17582818.9 2
 
0.1%
0 2
 
0.1%
16355171.1 2
 
0.1%
76812366.6 1
 
0.1%
33486435.1 1
 
0.1%
2792433.9 1
 
0.1%
Other values (260) 260
 
15.1%
2023-12-09T20:50:43.363195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1454
12.1%
l 1454
12.1%
N 727
 
6.0%
o 727
 
6.0%
e 727
 
6.0%
i 727
 
6.0%
b 727
 
6.0%
v 727
 
6.0%
A 727
 
6.0%
727
 
6.0%
Other values (13) 3317
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7270
60.4%
Decimal Number 2348
 
19.5%
Uppercase Letter 1454
 
12.1%
Space Separator 727
 
6.0%
Other Punctuation 240
 
2.0%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 315
13.4%
4 252
10.7%
5 250
10.6%
3 245
10.4%
2 243
10.3%
8 227
9.7%
7 226
9.6%
9 221
9.4%
6 197
8.4%
0 172
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1454
20.0%
l 1454
20.0%
o 727
10.0%
e 727
10.0%
i 727
10.0%
b 727
10.0%
v 727
10.0%
t 727
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 727
50.0%
A 727
50.0%
Space Separator
ValueCountFrequency (%)
727
100.0%
Other Punctuation
ValueCountFrequency (%)
. 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8724
72.5%
Common 3317
 
27.5%

Most frequent character per script

Common
ValueCountFrequency (%)
727
21.9%
1 315
9.5%
4 252
 
7.6%
5 250
 
7.5%
3 245
 
7.4%
2 243
 
7.3%
. 240
 
7.2%
8 227
 
6.8%
7 226
 
6.8%
9 221
 
6.7%
Other values (3) 371
11.2%
Latin
ValueCountFrequency (%)
a 1454
16.7%
l 1454
16.7%
N 727
8.3%
o 727
8.3%
e 727
8.3%
i 727
8.3%
b 727
8.3%
v 727
8.3%
A 727
8.3%
t 727
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12041
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1454
12.1%
l 1454
12.1%
N 727
 
6.0%
o 727
 
6.0%
e 727
 
6.0%
i 727
 
6.0%
b 727
 
6.0%
v 727
 
6.0%
A 727
 
6.0%
727
 
6.0%
Other values (13) 3317
27.5%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:43.549466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:50:43.829386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:50:44.044817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.945
Min length7

Characters and Unicode

Total characters12945
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 984
49.6%
available 984
49.6%
48469803 1
 
0.1%
9822024.1 1
 
0.1%
28702259.5 1
 
0.1%
19185792.6 1
 
0.1%
9909551.4 1
 
0.1%
201015305.8 1
 
0.1%
6374220.4 1
 
0.1%
2413248 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T20:50:44.406158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1968
15.2%
l 1968
15.2%
N 984
7.6%
o 984
7.6%
t 984
7.6%
984
7.6%
A 984
7.6%
v 984
7.6%
i 984
7.6%
b 984
7.6%
Other values (13) 1137
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9840
76.0%
Uppercase Letter 1968
 
15.2%
Space Separator 984
 
7.6%
Decimal Number 137
 
1.1%
Other Punctuation 13
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
14.6%
1 18
13.1%
6 15
10.9%
9 15
10.9%
8 14
10.2%
0 14
10.2%
3 13
9.5%
4 13
9.5%
5 11
8.0%
7 4
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1968
20.0%
l 1968
20.0%
o 984
10.0%
t 984
10.0%
v 984
10.0%
i 984
10.0%
b 984
10.0%
e 984
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 984
50.0%
A 984
50.0%
Space Separator
ValueCountFrequency (%)
984
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11808
91.2%
Common 1137
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
984
86.5%
2 20
 
1.8%
1 18
 
1.6%
6 15
 
1.3%
9 15
 
1.3%
8 14
 
1.2%
0 14
 
1.2%
. 13
 
1.1%
3 13
 
1.1%
4 13
 
1.1%
Other values (3) 18
 
1.6%
Latin
ValueCountFrequency (%)
a 1968
16.7%
l 1968
16.7%
N 984
8.3%
o 984
8.3%
t 984
8.3%
A 984
8.3%
v 984
8.3%
i 984
8.3%
b 984
8.3%
e 984
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1968
15.2%
l 1968
15.2%
N 984
7.6%
o 984
7.6%
t 984
7.6%
984
7.6%
A 984
7.6%
v 984
7.6%
i 984
7.6%
b 984
7.6%
Other values (13) 1137
8.8%
Distinct745
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:50:44.835711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.174
Min length1

Characters and Unicode

Total characters9174
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique735 ?
Unique (%)73.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row48148830.4
ValueCountFrequency (%)
not 212
 
17.5%
available 212
 
17.5%
1221286 16
 
1.3%
1154740 12
 
1.0%
2754145.1 6
 
0.5%
1458454 5
 
0.4%
1570929 4
 
0.3%
0 4
 
0.3%
5194449.3 2
 
0.2%
1701957 2
 
0.2%
Other values (736) 737
60.8%
2023-12-09T20:50:45.401259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 755
 
8.2%
2 623
 
6.8%
4 610
 
6.6%
5 602
 
6.6%
3 593
 
6.5%
0 580
 
6.3%
. 574
 
6.3%
9 541
 
5.9%
7 527
 
5.7%
8 510
 
5.6%
Other values (12) 3259
35.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5844
63.7%
Lowercase Letter 2120
 
23.1%
Other Punctuation 574
 
6.3%
Uppercase Letter 424
 
4.6%
Space Separator 212
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 755
12.9%
2 623
10.7%
4 610
10.4%
5 602
10.3%
3 593
10.1%
0 580
9.9%
9 541
9.3%
7 527
9.0%
8 510
8.7%
6 503
8.6%
Lowercase Letter
ValueCountFrequency (%)
l 424
20.0%
a 424
20.0%
t 212
10.0%
v 212
10.0%
o 212
10.0%
e 212
10.0%
b 212
10.0%
i 212
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 212
50.0%
N 212
50.0%
Other Punctuation
ValueCountFrequency (%)
. 574
100.0%
Space Separator
ValueCountFrequency (%)
212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6630
72.3%
Latin 2544
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 755
11.4%
2 623
9.4%
4 610
9.2%
5 602
9.1%
3 593
8.9%
0 580
8.7%
. 574
8.7%
9 541
8.2%
7 527
7.9%
8 510
7.7%
Other values (2) 715
10.8%
Latin
ValueCountFrequency (%)
l 424
16.7%
a 424
16.7%
t 212
8.3%
v 212
8.3%
A 212
8.3%
o 212
8.3%
e 212
8.3%
b 212
8.3%
i 212
8.3%
N 212
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 755
 
8.2%
2 623
 
6.8%
4 610
 
6.6%
5 602
 
6.6%
3 593
 
6.5%
0 580
 
6.3%
. 574
 
6.3%
9 541
 
5.9%
7 527
 
5.7%
8 510
 
5.6%
Other values (12) 3259
35.5%
Distinct711
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:50:45.897741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.998
Min length1

Characters and Unicode

Total characters7998
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique702 ?
Unique (%)70.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row469333
ValueCountFrequency (%)
not 247
 
19.8%
available 247
 
19.8%
11920 16
 
1.3%
11247.9 12
 
1.0%
26783.6 6
 
0.5%
14220.3 5
 
0.4%
15264.4 4
 
0.3%
0 4
 
0.3%
16688.7 2
 
0.2%
49737.5 2
 
0.2%
Other values (702) 702
56.3%
2023-12-09T20:50:46.541984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 626
 
7.8%
1 557
 
7.0%
2 497
 
6.2%
l 494
 
6.2%
a 494
 
6.2%
3 464
 
5.8%
4 436
 
5.5%
5 413
 
5.2%
7 394
 
4.9%
8 375
 
4.7%
Other values (12) 3248
40.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4161
52.0%
Lowercase Letter 2470
30.9%
Other Punctuation 626
 
7.8%
Uppercase Letter 494
 
6.2%
Space Separator 247
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 557
13.4%
2 497
11.9%
3 464
11.2%
4 436
10.5%
5 413
9.9%
7 394
9.5%
8 375
9.0%
6 370
8.9%
9 363
8.7%
0 292
7.0%
Lowercase Letter
ValueCountFrequency (%)
l 494
20.0%
a 494
20.0%
i 247
10.0%
b 247
10.0%
e 247
10.0%
o 247
10.0%
v 247
10.0%
t 247
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 247
50.0%
N 247
50.0%
Other Punctuation
ValueCountFrequency (%)
. 626
100.0%
Space Separator
ValueCountFrequency (%)
247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5034
62.9%
Latin 2964
37.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 626
12.4%
1 557
11.1%
2 497
9.9%
3 464
9.2%
4 436
8.7%
5 413
8.2%
7 394
7.8%
8 375
7.4%
6 370
7.4%
9 363
7.2%
Other values (2) 539
10.7%
Latin
ValueCountFrequency (%)
l 494
16.7%
a 494
16.7%
i 247
8.3%
b 247
8.3%
e 247
8.3%
o 247
8.3%
v 247
8.3%
A 247
8.3%
t 247
8.3%
N 247
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 626
 
7.8%
1 557
 
7.0%
2 497
 
6.2%
l 494
 
6.2%
a 494
 
6.2%
3 464
 
5.8%
4 436
 
5.5%
5 413
 
5.2%
7 394
 
4.9%
8 375
 
4.7%
Other values (12) 3248
40.6%
Distinct947
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:50:46.897474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.2
Min length1

Characters and Unicode

Total characters9200
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique942 ?
Unique (%)94.2%

Sample

1st row35883681.2
2nd row16720702.6
3rd row24763843.4
4th row18646513.9
5th row127046327.5
ValueCountFrequency (%)
not 50
 
4.8%
available 50
 
4.8%
23682657.8 2
 
0.2%
20013691.4 2
 
0.2%
73988371.2 2
 
0.2%
50791117.6 2
 
0.2%
17507161.6 1
 
0.1%
13725097 1
 
0.1%
843947.9 1
 
0.1%
281391770.7 1
 
0.1%
Other values (938) 938
89.3%
2023-12-09T20:50:47.815959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1008
11.0%
. 851
9.2%
3 832
9.0%
2 822
8.9%
5 773
8.4%
9 753
8.2%
7 746
8.1%
4 738
8.0%
8 737
8.0%
6 693
7.5%
Other values (12) 1247
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7699
83.7%
Other Punctuation 851
 
9.2%
Lowercase Letter 500
 
5.4%
Uppercase Letter 100
 
1.1%
Space Separator 50
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1008
13.1%
3 832
10.8%
2 822
10.7%
5 773
10.0%
9 753
9.8%
7 746
9.7%
4 738
9.6%
8 737
9.6%
6 693
9.0%
0 597
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 100
20.0%
a 100
20.0%
b 50
10.0%
e 50
10.0%
o 50
10.0%
i 50
10.0%
v 50
10.0%
t 50
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 50
50.0%
N 50
50.0%
Other Punctuation
ValueCountFrequency (%)
. 851
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8600
93.5%
Latin 600
 
6.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1008
11.7%
. 851
9.9%
3 832
9.7%
2 822
9.6%
5 773
9.0%
9 753
8.8%
7 746
8.7%
4 738
8.6%
8 737
8.6%
6 693
8.1%
Other values (2) 647
7.5%
Latin
ValueCountFrequency (%)
l 100
16.7%
a 100
16.7%
b 50
8.3%
e 50
8.3%
o 50
8.3%
i 50
8.3%
v 50
8.3%
A 50
8.3%
t 50
8.3%
N 50
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1008
11.0%
. 851
9.2%
3 832
9.0%
2 822
8.9%
5 773
8.4%
9 753
8.2%
7 746
8.1%
4 738
8.0%
8 737
8.0%
6 693
7.5%
Other values (12) 1247
13.6%
Distinct909
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:50:48.202270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.821
Min length1

Characters and Unicode

Total characters8821
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique904 ?
Unique (%)90.4%

Sample

1st row10561250
2nd row4876700.2
3rd row7220425.3
4th row5424148.4
5th row37235144.2
ValueCountFrequency (%)
not 88
 
8.1%
available 88
 
8.1%
21754019.3 2
 
0.2%
14829456.2 2
 
0.2%
5877661.5 2
 
0.2%
6880237.4 2
 
0.2%
662147 1
 
0.1%
830799.9 1
 
0.1%
275663.9 1
 
0.1%
517343.6 1
 
0.1%
Other values (900) 900
82.7%
2023-12-09T20:50:48.718119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 865
9.8%
2 796
9.0%
. 796
9.0%
4 723
8.2%
3 711
8.1%
5 698
7.9%
9 651
 
7.4%
8 647
 
7.3%
6 641
 
7.3%
7 629
 
7.1%
Other values (12) 1664
18.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6881
78.0%
Lowercase Letter 880
 
10.0%
Other Punctuation 796
 
9.0%
Uppercase Letter 176
 
2.0%
Space Separator 88
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 865
12.6%
2 796
11.6%
4 723
10.5%
3 711
10.3%
5 698
10.1%
9 651
9.5%
8 647
9.4%
6 641
9.3%
7 629
9.1%
0 520
7.6%
Lowercase Letter
ValueCountFrequency (%)
l 176
20.0%
a 176
20.0%
b 88
10.0%
e 88
10.0%
o 88
10.0%
i 88
10.0%
v 88
10.0%
t 88
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 88
50.0%
N 88
50.0%
Other Punctuation
ValueCountFrequency (%)
. 796
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7765
88.0%
Latin 1056
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 865
11.1%
2 796
10.3%
. 796
10.3%
4 723
9.3%
3 711
9.2%
5 698
9.0%
9 651
8.4%
8 647
8.3%
6 641
8.3%
7 629
8.1%
Other values (2) 608
7.8%
Latin
ValueCountFrequency (%)
l 176
16.7%
a 176
16.7%
b 88
8.3%
e 88
8.3%
o 88
8.3%
i 88
8.3%
v 88
8.3%
A 88
8.3%
t 88
8.3%
N 88
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 865
9.8%
2 796
9.0%
. 796
9.0%
4 723
8.2%
3 711
8.1%
5 698
7.9%
9 651
 
7.4%
8 647
 
7.3%
6 641
 
7.3%
7 629
 
7.1%
Other values (12) 1664
18.9%
Distinct947
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:50:49.083362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.196
Min length1

Characters and Unicode

Total characters9196
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique942 ?
Unique (%)94.2%

Sample

1st row35883696.9
2nd row16720703.9
3rd row24763842.2
4th row18646515.2
5th row127046331.8
ValueCountFrequency (%)
not 50
 
4.8%
available 50
 
4.8%
23682657.9 2
 
0.2%
73988367 2
 
0.2%
20013689.9 2
 
0.2%
50791134.4 2
 
0.2%
253321005.7 1
 
0.1%
2002542.4 1
 
0.1%
3257737 1
 
0.1%
170502689.8 1
 
0.1%
Other values (938) 938
89.3%
2023-12-09T20:50:49.577269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1000
10.9%
. 849
9.2%
2 820
8.9%
3 806
8.8%
9 769
8.4%
5 754
8.2%
4 753
8.2%
8 752
8.2%
7 743
8.1%
6 697
7.6%
Other values (12) 1253
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7697
83.7%
Other Punctuation 849
 
9.2%
Lowercase Letter 500
 
5.4%
Uppercase Letter 100
 
1.1%
Space Separator 50
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1000
13.0%
2 820
10.7%
3 806
10.5%
9 769
10.0%
5 754
9.8%
4 753
9.8%
8 752
9.8%
7 743
9.7%
6 697
9.1%
0 603
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 100
20.0%
a 100
20.0%
i 50
10.0%
b 50
10.0%
e 50
10.0%
o 50
10.0%
v 50
10.0%
t 50
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 50
50.0%
N 50
50.0%
Other Punctuation
ValueCountFrequency (%)
. 849
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8596
93.5%
Latin 600
 
6.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1000
11.6%
. 849
9.9%
2 820
9.5%
3 806
9.4%
9 769
8.9%
5 754
8.8%
4 753
8.8%
8 752
8.7%
7 743
8.6%
6 697
8.1%
Other values (2) 653
7.6%
Latin
ValueCountFrequency (%)
l 100
16.7%
a 100
16.7%
i 50
8.3%
b 50
8.3%
e 50
8.3%
o 50
8.3%
v 50
8.3%
A 50
8.3%
t 50
8.3%
N 50
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1000
10.9%
. 849
9.2%
2 820
8.9%
3 806
8.8%
9 769
8.4%
5 754
8.2%
4 753
8.2%
8 752
8.2%
7 743
8.1%
6 697
7.6%
Other values (12) 1253
13.6%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:49.768839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length8

Characters and Unicode

Total characters12985
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
692004.8 1
 
0.1%
205774.3 1
 
0.1%
302009.8 1
 
0.1%
2023-12-09T20:50:50.070374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1021
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
28.6%
2 3
14.3%
9 2
 
9.5%
4 2
 
9.5%
8 2
 
9.5%
7 2
 
9.5%
3 2
 
9.5%
6 1
 
4.8%
5 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1021
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.6%
0 6
 
0.6%
2 3
 
0.3%
. 3
 
0.3%
9 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
7 2
 
0.2%
3 2
 
0.2%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1021
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:50.253233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length1

Characters and Unicode

Total characters12970
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
17541.5 1
 
0.1%
2023-12-09T20:50:50.548986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
1 2
25.0%
5 2
25.0%
7 1
12.5%
4 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.1%
0 2
 
0.2%
1 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1006
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:50.726358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length5

Characters and Unicode

Total characters12979
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
220356.5 1
 
0.1%
60309 1
 
0.1%
88514 1
 
0.1%
2023-12-09T20:50:51.047729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1015
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
17.6%
5 3
17.6%
2 2
11.8%
3 2
11.8%
6 2
11.8%
8 2
11.8%
9 1
 
5.9%
1 1
 
5.9%
4 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1015
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
98.2%
0 3
 
0.3%
5 3
 
0.3%
2 2
 
0.2%
3 2
 
0.2%
6 2
 
0.2%
8 2
 
0.2%
. 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1015
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:50:51.228374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length1

Characters and Unicode

Total characters12969
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 1
 
0.1%
104.2 1
 
0.1%
31 1
 
0.1%
2023-12-09T20:50:51.520596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
1 2
28.6%
4 1
14.3%
2 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.2%
0 2
 
0.2%
1 2
 
0.2%
4 1
 
0.1%
. 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1005
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-09T20:50:51.642158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.599
Min length1

Characters and Unicode

Total characters1599
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row49
ValueCountFrequency (%)
0 948
90.4%
not 49
 
4.7%
available 49
 
4.7%
6440.4 1
 
0.1%
49 1
 
0.1%
1897.8 1
 
0.1%
2023-12-09T20:50:51.879308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 949
59.3%
a 98
 
6.1%
l 98
 
6.1%
t 49
 
3.1%
49
 
3.1%
A 49
 
3.1%
v 49
 
3.1%
o 49
 
3.1%
i 49
 
3.1%
N 49
 
3.1%
Other values (9) 111
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
60.0%
Lowercase Letter 490
30.6%
Uppercase Letter 98
 
6.1%
Space Separator 49
 
3.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 98
20.0%
l 98
20.0%
t 49
10.0%
v 49
10.0%
o 49
10.0%
i 49
10.0%
b 49
10.0%
e 49
10.0%
Decimal Number
ValueCountFrequency (%)
0 949
98.9%
4 4
 
0.4%
9 2
 
0.2%
8 2
 
0.2%
6 1
 
0.1%
1 1
 
0.1%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 49
50.0%
N 49
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1011
63.2%
Latin 588
36.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 98
16.7%
l 98
16.7%
t 49
8.3%
A 49
8.3%
v 49
8.3%
o 49
8.3%
i 49
8.3%
N 49
8.3%
b 49
8.3%
e 49
8.3%
Common
ValueCountFrequency (%)
0 949
93.9%
49
 
4.8%
4 4
 
0.4%
. 2
 
0.2%
9 2
 
0.2%
8 2
 
0.2%
6 1
 
0.1%
1 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 949
59.3%
a 98
 
6.1%
l 98
 
6.1%
t 49
 
3.1%
49
 
3.1%
A 49
 
3.1%
v 49
 
3.1%
o 49
 
3.1%
i 49
 
3.1%
N 49
 
3.1%
Other values (9) 111
 
6.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:50:52.001556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.105
Min length2

Characters and Unicode

Total characters2105
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 985
97.6%
not 9
 
0.9%
available 9
 
0.9%
yes 6
 
0.6%
2023-12-09T20:50:52.246946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 994
47.2%
o 994
47.2%
a 18
 
0.9%
l 18
 
0.9%
e 15
 
0.7%
t 9
 
0.4%
9
 
0.4%
A 9
 
0.4%
v 9
 
0.4%
i 9
 
0.4%
Other values (3) 21
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1087
51.6%
Uppercase Letter 1009
47.9%
Space Separator 9
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 994
91.4%
a 18
 
1.7%
l 18
 
1.7%
e 15
 
1.4%
t 9
 
0.8%
v 9
 
0.8%
i 9
 
0.8%
b 9
 
0.8%
s 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
N 994
98.5%
A 9
 
0.9%
Y 6
 
0.6%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2096
99.6%
Common 9
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 994
47.4%
o 994
47.4%
a 18
 
0.9%
l 18
 
0.9%
e 15
 
0.7%
t 9
 
0.4%
A 9
 
0.4%
v 9
 
0.4%
i 9
 
0.4%
b 9
 
0.4%
Other values (2) 12
 
0.6%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 994
47.2%
o 994
47.2%
a 18
 
0.9%
l 18
 
0.9%
e 15
 
0.7%
t 9
 
0.4%
9
 
0.4%
A 9
 
0.4%
v 9
 
0.4%
i 9
 
0.4%
Other values (3) 21
 
1.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T20:50:52.391853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.905
Min length2

Characters and Unicode

Total characters3905
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNo
ValueCountFrequency (%)
no 815
69.5%
not 172
 
14.7%
available 172
 
14.7%
yes 13
 
1.1%
2023-12-09T20:50:52.643756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 987
25.3%
o 987
25.3%
a 344
 
8.8%
l 344
 
8.8%
e 185
 
4.7%
t 172
 
4.4%
172
 
4.4%
A 172
 
4.4%
v 172
 
4.4%
i 172
 
4.4%
Other values (3) 198
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2561
65.6%
Uppercase Letter 1172
30.0%
Space Separator 172
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 987
38.5%
a 344
 
13.4%
l 344
 
13.4%
e 185
 
7.2%
t 172
 
6.7%
v 172
 
6.7%
i 172
 
6.7%
b 172
 
6.7%
s 13
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
N 987
84.2%
A 172
 
14.7%
Y 13
 
1.1%
Space Separator
ValueCountFrequency (%)
172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3733
95.6%
Common 172
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 987
26.4%
o 987
26.4%
a 344
 
9.2%
l 344
 
9.2%
e 185
 
5.0%
t 172
 
4.6%
A 172
 
4.6%
v 172
 
4.6%
i 172
 
4.6%
b 172
 
4.6%
Other values (2) 26
 
0.7%
Common
ValueCountFrequency (%)
172
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 987
25.3%
o 987
25.3%
a 344
 
8.8%
l 344
 
8.8%
e 185
 
4.7%
t 172
 
4.4%
172
 
4.4%
A 172
 
4.4%
v 172
 
4.4%
i 172
 
4.4%
Other values (3) 198
 
5.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:50:52.813164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.811
Min length2

Characters and Unicode

Total characters10811
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 801
44.5%
available 801
44.5%
no 199
 
11.0%
2023-12-09T20:50:53.088822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1602
14.8%
l 1602
14.8%
N 1000
9.2%
o 1000
9.2%
t 801
7.4%
801
7.4%
A 801
7.4%
v 801
7.4%
i 801
7.4%
b 801
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8209
75.9%
Uppercase Letter 1801
 
16.7%
Space Separator 801
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1602
19.5%
l 1602
19.5%
o 1000
12.2%
t 801
9.8%
v 801
9.8%
i 801
9.8%
b 801
9.8%
e 801
9.8%
Uppercase Letter
ValueCountFrequency (%)
N 1000
55.5%
A 801
44.5%
Space Separator
ValueCountFrequency (%)
801
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10010
92.6%
Common 801
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1602
16.0%
l 1602
16.0%
N 1000
10.0%
o 1000
10.0%
t 801
8.0%
A 801
8.0%
v 801
8.0%
i 801
8.0%
b 801
8.0%
e 801
8.0%
Common
ValueCountFrequency (%)
801
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1602
14.8%
l 1602
14.8%
N 1000
9.2%
o 1000
9.2%
t 801
7.4%
801
7.4%
A 801
7.4%
v 801
7.4%
i 801
7.4%
b 801
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:50:53.259846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.725
Min length2

Characters and Unicode

Total characters11725
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 884
46.9%
available 884
46.9%
no 115
 
6.1%
yes 1
 
0.1%
2023-12-09T20:50:53.543120image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1768
15.1%
l 1768
15.1%
N 999
8.5%
o 999
8.5%
e 885
7.5%
t 884
7.5%
884
7.5%
A 884
7.5%
v 884
7.5%
i 884
7.5%
Other values (3) 886
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8957
76.4%
Uppercase Letter 1884
 
16.1%
Space Separator 884
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1768
19.7%
l 1768
19.7%
o 999
11.2%
e 885
9.9%
t 884
9.9%
v 884
9.9%
i 884
9.9%
b 884
9.9%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
53.0%
A 884
46.9%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10841
92.5%
Common 884
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1768
16.3%
l 1768
16.3%
N 999
9.2%
o 999
9.2%
e 885
8.2%
t 884
8.2%
A 884
8.2%
v 884
8.2%
i 884
8.2%
b 884
8.2%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
884
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1768
15.1%
l 1768
15.1%
N 999
8.5%
o 999
8.5%
e 885
7.5%
t 884
7.5%
884
7.5%
A 884
7.5%
v 884
7.5%
i 884
7.5%
Other values (3) 886
7.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:50:53.710792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.833
Min length2

Characters and Unicode

Total characters10833
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 803
44.5%
available 803
44.5%
no 197
 
10.9%
2023-12-09T20:50:53.989649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1606
14.8%
l 1606
14.8%
N 1000
9.2%
o 1000
9.2%
t 803
7.4%
803
7.4%
A 803
7.4%
v 803
7.4%
i 803
7.4%
b 803
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8227
75.9%
Uppercase Letter 1803
 
16.6%
Space Separator 803
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1606
19.5%
l 1606
19.5%
o 1000
12.2%
t 803
9.8%
v 803
9.8%
i 803
9.8%
b 803
9.8%
e 803
9.8%
Uppercase Letter
ValueCountFrequency (%)
N 1000
55.5%
A 803
44.5%
Space Separator
ValueCountFrequency (%)
803
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10030
92.6%
Common 803
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1606
16.0%
l 1606
16.0%
N 1000
10.0%
o 1000
10.0%
t 803
8.0%
A 803
8.0%
v 803
8.0%
i 803
8.0%
b 803
8.0%
e 803
8.0%
Common
ValueCountFrequency (%)
803
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1606
14.8%
l 1606
14.8%
N 1000
9.2%
o 1000
9.2%
t 803
7.4%
803
7.4%
A 803
7.4%
v 803
7.4%
i 803
7.4%
b 803
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-09T20:50:54.163572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.889
Min length2

Characters and Unicode

Total characters9889
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 717
41.8%
available 717
41.8%
no 281
 
16.4%
yes 2
 
0.1%
2023-12-09T20:50:54.456891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1434
14.5%
l 1434
14.5%
N 998
10.1%
o 998
10.1%
e 719
7.3%
t 717
7.3%
717
7.3%
A 717
7.3%
v 717
7.3%
i 717
7.3%
Other values (3) 721
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7455
75.4%
Uppercase Letter 1717
 
17.4%
Space Separator 717
 
7.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1434
19.2%
l 1434
19.2%
o 998
13.4%
e 719
9.6%
t 717
9.6%
v 717
9.6%
i 717
9.6%
b 717
9.6%
s 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
58.1%
A 717
41.8%
Y 2
 
0.1%
Space Separator
ValueCountFrequency (%)
717
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9172
92.7%
Common 717
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1434
15.6%
l 1434
15.6%
N 998
10.9%
o 998
10.9%
e 719
7.8%
t 717
7.8%
A 717
7.8%
v 717
7.8%
i 717
7.8%
b 717
7.8%
Other values (2) 4
 
< 0.1%
Common
ValueCountFrequency (%)
717
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1434
14.5%
l 1434
14.5%
N 998
10.1%
o 998
10.1%
e 719
7.3%
t 717
7.3%
717
7.3%
A 717
7.3%
v 717
7.3%
i 717
7.3%
Other values (3) 721
7.3%
Distinct909
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size61.5 KiB
2023-12-09T20:50:54.896268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.823
Min length2

Characters and Unicode

Total characters5823
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique886 ?
Unique (%)88.6%

Sample

1st row3054.3
2nd row2453.3
3rd row2961.2
4th row2731.4
5th row13661.8
ValueCountFrequency (%)
not 66
 
6.2%
available 66
 
6.2%
106.6 4
 
0.4%
80.8 3
 
0.3%
64.9 3
 
0.3%
323.4 2
 
0.2%
80.9 2
 
0.2%
554.2 2
 
0.2%
172 2
 
0.2%
474 2
 
0.2%
Other values (900) 914
85.7%
2023-12-09T20:50:55.475691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 841
14.4%
1 567
9.7%
3 525
9.0%
2 460
7.9%
4 456
7.8%
6 404
 
6.9%
5 399
 
6.9%
8 370
 
6.4%
7 363
 
6.2%
9 337
 
5.8%
Other values (12) 1101
18.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4124
70.8%
Other Punctuation 841
 
14.4%
Lowercase Letter 660
 
11.3%
Uppercase Letter 132
 
2.3%
Space Separator 66
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 567
13.7%
3 525
12.7%
2 460
11.2%
4 456
11.1%
6 404
9.8%
5 399
9.7%
8 370
9.0%
7 363
8.8%
9 337
8.2%
0 243
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 132
20.0%
a 132
20.0%
b 66
10.0%
e 66
10.0%
o 66
10.0%
i 66
10.0%
v 66
10.0%
t 66
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 66
50.0%
N 66
50.0%
Other Punctuation
ValueCountFrequency (%)
. 841
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5031
86.4%
Latin 792
 
13.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 841
16.7%
1 567
11.3%
3 525
10.4%
2 460
9.1%
4 456
9.1%
6 404
8.0%
5 399
7.9%
8 370
7.4%
7 363
7.2%
9 337
6.7%
Other values (2) 309
 
6.1%
Latin
ValueCountFrequency (%)
l 132
16.7%
a 132
16.7%
b 66
8.3%
e 66
8.3%
o 66
8.3%
i 66
8.3%
v 66
8.3%
A 66
8.3%
t 66
8.3%
N 66
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 841
14.4%
1 567
9.7%
3 525
9.0%
2 460
7.9%
4 456
7.8%
6 404
 
6.9%
5 399
 
6.9%
8 370
 
6.4%
7 363
 
6.2%
9 337
 
5.8%
Other values (12) 1101
18.9%
Distinct731
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T20:50:55.952701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length4.37
Min length1

Characters and Unicode

Total characters4370
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)69.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2557.4
ValueCountFrequency (%)
0 168
 
16.2%
available 36
 
3.5%
not 36
 
3.5%
64.9 16
 
1.5%
61.3 12
 
1.2%
146.3 6
 
0.6%
77.5 5
 
0.5%
83.4 4
 
0.4%
26.5 4
 
0.4%
0.1 3
 
0.3%
Other values (722) 746
72.0%
2023-12-09T20:50:56.556701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 714
16.3%
1 418
9.6%
2 414
9.5%
3 377
8.6%
0 344
7.9%
4 314
7.2%
5 289
6.6%
6 279
 
6.4%
9 259
 
5.9%
8 247
 
5.7%
Other values (12) 715
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3188
73.0%
Other Punctuation 714
 
16.3%
Lowercase Letter 360
 
8.2%
Uppercase Letter 72
 
1.6%
Space Separator 36
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 418
13.1%
2 414
13.0%
3 377
11.8%
0 344
10.8%
4 314
9.8%
5 289
9.1%
6 279
8.8%
9 259
8.1%
8 247
7.7%
7 247
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 72
20.0%
l 72
20.0%
o 36
10.0%
t 36
10.0%
v 36
10.0%
b 36
10.0%
i 36
10.0%
e 36
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 36
50.0%
N 36
50.0%
Other Punctuation
ValueCountFrequency (%)
. 714
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3938
90.1%
Latin 432
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 714
18.1%
1 418
10.6%
2 414
10.5%
3 377
9.6%
0 344
8.7%
4 314
8.0%
5 289
7.3%
6 279
 
7.1%
9 259
 
6.6%
8 247
 
6.3%
Other values (2) 283
 
7.2%
Latin
ValueCountFrequency (%)
a 72
16.7%
l 72
16.7%
o 36
8.3%
t 36
8.3%
A 36
8.3%
v 36
8.3%
N 36
8.3%
b 36
8.3%
i 36
8.3%
e 36
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 714
16.3%
1 418
9.6%
2 414
9.5%
3 377
8.6%
0 344
7.9%
4 314
7.2%
5 289
6.6%
6 279
 
6.4%
9 259
 
5.9%
8 247
 
5.7%
Other values (12) 715
16.4%
Distinct904
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:50:57.057975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.305
Min length1

Characters and Unicode

Total characters5305
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique862 ?
Unique (%)86.2%

Sample

1st row3054.3
2nd row2453.3
3rd row2961.2
4th row2731.4
5th row11104.4
ValueCountFrequency (%)
not 44
 
4.2%
available 44
 
4.2%
0 10
 
1.0%
16 5
 
0.5%
23.2 3
 
0.3%
2490.4 2
 
0.2%
60.3 2
 
0.2%
17.7 2
 
0.2%
210.1 2
 
0.2%
71.1 2
 
0.2%
Other values (895) 928
88.9%
2023-12-09T20:50:57.691517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 845
15.9%
1 668
12.6%
2 442
8.3%
4 403
7.6%
3 397
7.5%
6 364
6.9%
5 358
6.7%
8 347
6.5%
7 344
6.5%
9 322
 
6.1%
Other values (13) 815
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3887
73.3%
Other Punctuation 845
 
15.9%
Lowercase Letter 440
 
8.3%
Uppercase Letter 88
 
1.7%
Space Separator 44
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 668
17.2%
2 442
11.4%
4 403
10.4%
3 397
10.2%
6 364
9.4%
5 358
9.2%
8 347
8.9%
7 344
8.9%
9 322
8.3%
0 242
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 88
20.0%
l 88
20.0%
o 44
10.0%
e 44
10.0%
b 44
10.0%
i 44
10.0%
v 44
10.0%
t 44
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 44
50.0%
A 44
50.0%
Other Punctuation
ValueCountFrequency (%)
. 845
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4777
90.0%
Latin 528
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 845
17.7%
1 668
14.0%
2 442
9.3%
4 403
8.4%
3 397
8.3%
6 364
7.6%
5 358
7.5%
8 347
7.3%
7 344
7.2%
9 322
 
6.7%
Other values (3) 287
 
6.0%
Latin
ValueCountFrequency (%)
a 88
16.7%
l 88
16.7%
N 44
8.3%
o 44
8.3%
e 44
8.3%
b 44
8.3%
i 44
8.3%
v 44
8.3%
A 44
8.3%
t 44
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 845
15.9%
1 668
12.6%
2 442
8.3%
4 403
7.6%
3 397
7.5%
6 364
6.9%
5 358
6.7%
8 347
6.5%
7 344
6.5%
9 322
 
6.1%
Other values (13) 815
15.4%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:50:57.852899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.011
Min length4

Characters and Unicode

Total characters4011
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row82.9
2nd row82.9
3rd row82.9
4th row82.9
5th row82.9
ValueCountFrequency (%)
82.9 997
99.6%
not 1
 
0.1%
available 1
 
0.1%
157.2 1
 
0.1%
178.3 1
 
0.1%
2023-12-09T20:50:58.121312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 999
24.9%
8 998
24.9%
2 998
24.9%
9 997
24.9%
l 2
 
< 0.1%
7 2
 
< 0.1%
1 2
 
< 0.1%
a 2
 
< 0.1%
5 1
 
< 0.1%
e 1
 
< 0.1%
Other values (9) 9
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2999
74.8%
Other Punctuation 999
 
24.9%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
e 1
10.0%
b 1
10.0%
v 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
Decimal Number
ValueCountFrequency (%)
8 998
33.3%
2 998
33.3%
9 997
33.2%
7 2
 
0.1%
1 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
N 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 999
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3999
99.7%
Latin 12
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
e 1
8.3%
b 1
8.3%
v 1
8.3%
i 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
N 1
8.3%
Common
ValueCountFrequency (%)
. 999
25.0%
8 998
25.0%
2 998
25.0%
9 997
24.9%
7 2
 
0.1%
1 2
 
0.1%
5 1
 
< 0.1%
1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 999
24.9%
8 998
24.9%
2 998
24.9%
9 997
24.9%
l 2
 
< 0.1%
7 2
 
< 0.1%
1 2
 
< 0.1%
a 2
 
< 0.1%
5 1
 
< 0.1%
e 1
 
< 0.1%
Other values (9) 9
 
0.2%
Distinct910
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:50:58.593539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.523
Min length1

Characters and Unicode

Total characters5523
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique886 ?
Unique (%)88.6%

Sample

1st row3054.3
2nd row2453.3
3rd row2961.2
4th row2731.4
5th row13612.9
ValueCountFrequency (%)
not 41
 
3.9%
available 41
 
3.9%
0 25
 
2.4%
106.6 4
 
0.4%
80.8 3
 
0.3%
64.9 3
 
0.3%
323.4 2
 
0.2%
2490.4 2
 
0.2%
80.9 2
 
0.2%
474 2
 
0.2%
Other values (901) 916
88.0%
2023-12-09T20:50:59.198866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 841
15.2%
1 567
10.3%
3 523
9.5%
2 462
8.4%
4 458
8.3%
6 403
7.3%
5 397
7.2%
8 367
6.6%
7 362
6.6%
9 339
6.1%
Other values (13) 804
14.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4147
75.1%
Other Punctuation 841
 
15.2%
Lowercase Letter 410
 
7.4%
Uppercase Letter 82
 
1.5%
Space Separator 41
 
0.7%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 567
13.7%
3 523
12.6%
2 462
11.1%
4 458
11.0%
6 403
9.7%
5 397
9.6%
8 367
8.8%
7 362
8.7%
9 339
8.2%
0 269
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 82
20.0%
l 82
20.0%
o 41
10.0%
e 41
10.0%
b 41
10.0%
i 41
10.0%
v 41
10.0%
t 41
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 41
50.0%
A 41
50.0%
Other Punctuation
ValueCountFrequency (%)
. 841
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5031
91.1%
Latin 492
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 841
16.7%
1 567
11.3%
3 523
10.4%
2 462
9.2%
4 458
9.1%
6 403
8.0%
5 397
7.9%
8 367
7.3%
7 362
7.2%
9 339
6.7%
Other values (3) 312
 
6.2%
Latin
ValueCountFrequency (%)
a 82
16.7%
l 82
16.7%
N 41
8.3%
o 41
8.3%
e 41
8.3%
b 41
8.3%
i 41
8.3%
v 41
8.3%
A 41
8.3%
t 41
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 841
15.2%
1 567
10.3%
3 523
9.5%
2 462
8.4%
4 458
8.3%
6 403
7.3%
5 397
7.2%
8 367
6.6%
7 362
6.6%
9 339
6.1%
Other values (13) 804
14.6%
Distinct942
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:50:59.696460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length5.34
Min length2

Characters and Unicode

Total characters5340
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique909 ?
Unique (%)90.9%

Sample

1st row5662
2nd row4055.1
3rd row4664.7
4th row3715.3
5th row15587.7
ValueCountFrequency (%)
47 9
 
0.9%
42.1 8
 
0.8%
not 7
 
0.7%
available 7
 
0.7%
59.6 5
 
0.5%
158.8 4
 
0.4%
57.6 3
 
0.3%
70.4 3
 
0.3%
583.2 2
 
0.2%
412.6 2
 
0.2%
Other values (933) 957
95.0%
2023-12-09T20:51:00.311312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 898
16.8%
1 614
11.5%
2 493
9.2%
3 482
9.0%
5 470
8.8%
4 464
8.7%
6 440
8.2%
7 397
7.4%
8 383
7.2%
9 368
6.9%
Other values (12) 331
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4351
81.5%
Other Punctuation 898
 
16.8%
Lowercase Letter 70
 
1.3%
Uppercase Letter 14
 
0.3%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 614
14.1%
2 493
11.3%
3 482
11.1%
5 470
10.8%
4 464
10.7%
6 440
10.1%
7 397
9.1%
8 383
8.8%
9 368
8.5%
0 240
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
l 14
20.0%
a 14
20.0%
o 7
10.0%
t 7
10.0%
v 7
10.0%
i 7
10.0%
b 7
10.0%
e 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
N 7
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5256
98.4%
Latin 84
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 898
17.1%
1 614
11.7%
2 493
9.4%
3 482
9.2%
5 470
8.9%
4 464
8.8%
6 440
8.4%
7 397
7.6%
8 383
7.3%
9 368
7.0%
Other values (2) 247
 
4.7%
Latin
ValueCountFrequency (%)
l 14
16.7%
a 14
16.7%
o 7
8.3%
t 7
8.3%
A 7
8.3%
v 7
8.3%
i 7
8.3%
b 7
8.3%
e 7
8.3%
N 7
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 898
16.8%
1 614
11.5%
2 493
9.2%
3 482
9.0%
5 470
8.8%
4 464
8.7%
6 440
8.2%
7 397
7.4%
8 383
7.2%
9 368
6.9%
Other values (12) 331
 
6.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-09T20:51:00.456037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.62
Min length1

Characters and Unicode

Total characters1620
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row132841.1
ValueCountFrequency (%)
0 947
90.2%
not 50
 
4.8%
available 50
 
4.8%
132841.1 1
 
0.1%
17476080 1
 
0.1%
5149560 1
 
0.1%
2023-12-09T20:51:00.701576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 950
58.6%
a 100
 
6.2%
l 100
 
6.2%
N 50
 
3.1%
b 50
 
3.1%
i 50
 
3.1%
e 50
 
3.1%
v 50
 
3.1%
A 50
 
3.1%
50
 
3.1%
Other values (12) 120
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 969
59.8%
Lowercase Letter 500
30.9%
Uppercase Letter 100
 
6.2%
Space Separator 50
 
3.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 950
98.0%
1 5
 
0.5%
4 3
 
0.3%
8 2
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 100
20.0%
l 100
20.0%
b 50
10.0%
i 50
10.0%
e 50
10.0%
v 50
10.0%
t 50
10.0%
o 50
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 50
50.0%
A 50
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1020
63.0%
Latin 600
37.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 950
93.1%
50
 
4.9%
1 5
 
0.5%
4 3
 
0.3%
8 2
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 100
16.7%
l 100
16.7%
N 50
8.3%
b 50
8.3%
i 50
8.3%
e 50
8.3%
v 50
8.3%
A 50
8.3%
t 50
8.3%
o 50
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 950
58.6%
a 100
 
6.2%
l 100
 
6.2%
N 50
 
3.1%
b 50
 
3.1%
i 50
 
3.1%
e 50
 
3.1%
v 50
 
3.1%
A 50
 
3.1%
50
 
3.1%
Other values (12) 120
 
7.4%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:00.875506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.973
Min length1

Characters and Unicode

Total characters12973
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 1
 
0.1%
202815 1
 
0.1%
60309 1
 
0.1%
2023-12-09T20:51:01.169994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
2 2
16.7%
8 1
 
8.3%
1 1
 
8.3%
5 1
 
8.3%
6 1
 
8.3%
3 1
 
8.3%
9 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.8%
0 4
 
0.4%
2 2
 
0.2%
8 1
 
0.1%
1 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1009
7.8%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-09T20:51:01.299842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.644
Min length1

Characters and Unicode

Total characters1644
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0.3567626
ValueCountFrequency (%)
0 944
89.8%
not 51
 
4.9%
available 51
 
4.9%
37.22595 1
 
0.1%
91.62022 1
 
0.1%
0.3567626 1
 
0.1%
0.2556612 1
 
0.1%
100 1
 
0.1%
2023-12-09T20:51:01.557749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 949
57.7%
a 102
 
6.2%
l 102
 
6.2%
e 51
 
3.1%
N 51
 
3.1%
i 51
 
3.1%
b 51
 
3.1%
v 51
 
3.1%
A 51
 
3.1%
51
 
3.1%
Other values (10) 134
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 977
59.4%
Lowercase Letter 510
31.0%
Uppercase Letter 102
 
6.2%
Space Separator 51
 
3.1%
Other Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 949
97.1%
2 8
 
0.8%
6 6
 
0.6%
5 5
 
0.5%
1 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
9 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 102
20.0%
l 102
20.0%
e 51
10.0%
i 51
10.0%
b 51
10.0%
v 51
10.0%
t 51
10.0%
o 51
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 51
50.0%
A 51
50.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1032
62.8%
Latin 612
37.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 949
92.0%
51
 
4.9%
2 8
 
0.8%
6 6
 
0.6%
5 5
 
0.5%
. 4
 
0.4%
1 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
9 2
 
0.2%
Latin
ValueCountFrequency (%)
a 102
16.7%
l 102
16.7%
e 51
8.3%
N 51
8.3%
i 51
8.3%
b 51
8.3%
v 51
8.3%
A 51
8.3%
t 51
8.3%
o 51
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 949
57.7%
a 102
 
6.2%
l 102
 
6.2%
e 51
 
3.1%
N 51
 
3.1%
i 51
 
3.1%
b 51
 
3.1%
v 51
 
3.1%
A 51
 
3.1%
51
 
3.1%
Other values (10) 134
 
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:01.751078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length1

Characters and Unicode

Total characters12968
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
100 2
 
0.1%
0 1
 
0.1%
2023-12-09T20:51:02.053278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 5
71.4%
1 2
 
28.6%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
0 5
 
0.5%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1004
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:02.239590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length8

Characters and Unicode

Total characters12986
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
37.22595 1
 
0.1%
0.2556612 1
 
0.1%
7.977411 1
 
0.1%
2023-12-09T20:51:02.556048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 4
18.2%
2 4
18.2%
5 4
18.2%
1 3
13.6%
9 2
9.1%
6 2
9.1%
3 1
 
4.5%
0 1
 
4.5%
4 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1022
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.6%
7 4
 
0.4%
2 4
 
0.4%
5 4
 
0.4%
. 3
 
0.3%
1 3
 
0.3%
9 2
 
0.2%
6 2
 
0.2%
3 1
 
0.1%
0 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1022
7.9%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:02.787479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.792
Min length1

Characters and Unicode

Total characters12792
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 7
 
0.4%
57111.19 2
 
0.1%
81842.86 2
 
0.1%
196753.36 1
 
0.1%
122272.64 1
 
0.1%
45258.27 1
 
0.1%
572893.09 1
 
0.1%
74912.66 1
 
0.1%
Other values (16) 16
 
0.8%
2023-12-09T20:51:03.161624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.1%
l 1936
15.1%
N 968
7.6%
t 968
7.6%
968
7.6%
A 968
7.6%
v 968
7.6%
i 968
7.6%
b 968
7.6%
e 968
7.6%
Other values (12) 1176
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
75.7%
Uppercase Letter 1936
 
15.1%
Space Separator 968
 
7.6%
Decimal Number 183
 
1.4%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
14.2%
6 22
12.0%
5 20
10.9%
2 19
10.4%
3 19
10.4%
0 18
9.8%
9 17
9.3%
8 15
8.2%
7 15
8.2%
4 12
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
t 968
10.0%
v 968
10.0%
i 968
10.0%
b 968
10.0%
e 968
10.0%
o 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
90.8%
Common 1176
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
968
82.3%
1 26
 
2.2%
. 25
 
2.1%
6 22
 
1.9%
5 20
 
1.7%
2 19
 
1.6%
3 19
 
1.6%
0 18
 
1.5%
9 17
 
1.4%
8 15
 
1.3%
Other values (2) 27
 
2.3%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
t 968
8.3%
A 968
8.3%
v 968
8.3%
i 968
8.3%
b 968
8.3%
e 968
8.3%
o 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.1%
l 1936
15.1%
N 968
7.6%
t 968
7.6%
968
7.6%
A 968
7.6%
v 968
7.6%
i 968
7.6%
b 968
7.6%
e 968
7.6%
Other values (12) 1176
9.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:03.356761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:04.266259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct228
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:51:04.717688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.562
Min length1

Characters and Unicode

Total characters10562
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)22.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 650
39.4%
available 650
39.4%
0 120
 
7.3%
1766867.96 2
 
0.1%
3726295.3 2
 
0.1%
4502921.94 2
 
0.1%
937375.3 2
 
0.1%
620.45 1
 
0.1%
561989.06 1
 
0.1%
299485.93 1
 
0.1%
Other values (219) 219
 
13.3%
2023-12-09T20:51:05.299927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1300
12.3%
l 1300
12.3%
N 650
 
6.2%
o 650
 
6.2%
t 650
 
6.2%
650
 
6.2%
A 650
 
6.2%
v 650
 
6.2%
i 650
 
6.2%
b 650
 
6.2%
Other values (12) 2762
26.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6500
61.5%
Decimal Number 1886
 
17.9%
Uppercase Letter 1300
 
12.3%
Space Separator 650
 
6.2%
Other Punctuation 226
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 248
13.1%
1 226
12.0%
2 193
10.2%
9 192
10.2%
3 190
10.1%
4 176
9.3%
6 175
9.3%
5 169
9.0%
8 164
8.7%
7 153
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 1300
20.0%
l 1300
20.0%
o 650
10.0%
t 650
10.0%
v 650
10.0%
i 650
10.0%
b 650
10.0%
e 650
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 650
50.0%
A 650
50.0%
Space Separator
ValueCountFrequency (%)
650
100.0%
Other Punctuation
ValueCountFrequency (%)
. 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7800
73.8%
Common 2762
 
26.2%

Most frequent character per script

Common
ValueCountFrequency (%)
650
23.5%
0 248
 
9.0%
1 226
 
8.2%
. 226
 
8.2%
2 193
 
7.0%
9 192
 
7.0%
3 190
 
6.9%
4 176
 
6.4%
6 175
 
6.3%
5 169
 
6.1%
Other values (2) 317
11.5%
Latin
ValueCountFrequency (%)
a 1300
16.7%
l 1300
16.7%
N 650
8.3%
o 650
8.3%
t 650
8.3%
A 650
8.3%
v 650
8.3%
i 650
8.3%
b 650
8.3%
e 650
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1300
12.3%
l 1300
12.3%
N 650
 
6.2%
o 650
 
6.2%
t 650
 
6.2%
650
 
6.2%
A 650
 
6.2%
v 650
 
6.2%
i 650
 
6.2%
b 650
 
6.2%
Other values (12) 2762
26.2%
Distinct180
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:51:05.815889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.471
Min length1

Characters and Unicode

Total characters9471
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)14.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 651
39.4%
available 651
39.4%
0 122
 
7.4%
0.01 4
 
0.2%
2.39 4
 
0.2%
1.32 4
 
0.2%
0.02 3
 
0.2%
2.97 3
 
0.2%
1.26 3
 
0.2%
2.13 3
 
0.2%
Other values (171) 203
 
12.3%
2023-12-09T20:51:06.453824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1302
13.7%
l 1302
13.7%
N 651
 
6.9%
t 651
 
6.9%
651
 
6.9%
A 651
 
6.9%
v 651
 
6.9%
i 651
 
6.9%
b 651
 
6.9%
e 651
 
6.9%
Other values (12) 1659
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6510
68.7%
Uppercase Letter 1302
 
13.7%
Decimal Number 783
 
8.3%
Space Separator 651
 
6.9%
Other Punctuation 225
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 200
25.5%
1 114
14.6%
2 109
13.9%
3 80
 
10.2%
5 68
 
8.7%
4 57
 
7.3%
6 44
 
5.6%
9 43
 
5.5%
8 38
 
4.9%
7 30
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1302
20.0%
l 1302
20.0%
t 651
10.0%
v 651
10.0%
i 651
10.0%
b 651
10.0%
e 651
10.0%
o 651
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 651
50.0%
A 651
50.0%
Space Separator
ValueCountFrequency (%)
651
100.0%
Other Punctuation
ValueCountFrequency (%)
. 225
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7812
82.5%
Common 1659
 
17.5%

Most frequent character per script

Common
ValueCountFrequency (%)
651
39.2%
. 225
 
13.6%
0 200
 
12.1%
1 114
 
6.9%
2 109
 
6.6%
3 80
 
4.8%
5 68
 
4.1%
4 57
 
3.4%
6 44
 
2.7%
9 43
 
2.6%
Other values (2) 68
 
4.1%
Latin
ValueCountFrequency (%)
a 1302
16.7%
l 1302
16.7%
N 651
8.3%
t 651
8.3%
A 651
8.3%
v 651
8.3%
i 651
8.3%
b 651
8.3%
e 651
8.3%
o 651
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1302
13.7%
l 1302
13.7%
N 651
 
6.9%
t 651
 
6.9%
651
 
6.9%
A 651
 
6.9%
v 651
 
6.9%
i 651
 
6.9%
b 651
 
6.9%
e 651
 
6.9%
Other values (12) 1659
17.5%
Distinct276
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:51:06.932488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.286
Min length1

Characters and Unicode

Total characters10286
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)26.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 585
36.9%
available 585
36.9%
0 119
 
7.5%
17297.7 9
 
0.6%
15482.51 8
 
0.5%
21212.82 3
 
0.2%
6457226.08 2
 
0.1%
5251203.4 2
 
0.1%
96354.6 2
 
0.1%
1909182.11 2
 
0.1%
Other values (267) 268
16.9%
2023-12-09T20:51:07.542792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1170
 
11.4%
l 1170
 
11.4%
N 585
 
5.7%
o 585
 
5.7%
t 585
 
5.7%
585
 
5.7%
A 585
 
5.7%
v 585
 
5.7%
i 585
 
5.7%
b 585
 
5.7%
Other values (12) 3266
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5850
56.9%
Decimal Number 2386
23.2%
Uppercase Letter 1170
 
11.4%
Space Separator 585
 
5.7%
Other Punctuation 295
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 303
12.7%
2 297
12.4%
1 292
12.2%
5 239
10.0%
7 227
9.5%
3 222
9.3%
6 208
8.7%
8 206
8.6%
9 197
8.3%
4 195
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 1170
20.0%
l 1170
20.0%
o 585
10.0%
t 585
10.0%
v 585
10.0%
i 585
10.0%
b 585
10.0%
e 585
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 585
50.0%
A 585
50.0%
Space Separator
ValueCountFrequency (%)
585
100.0%
Other Punctuation
ValueCountFrequency (%)
. 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7020
68.2%
Common 3266
31.8%

Most frequent character per script

Common
ValueCountFrequency (%)
585
17.9%
0 303
9.3%
2 297
9.1%
. 295
9.0%
1 292
8.9%
5 239
7.3%
7 227
 
7.0%
3 222
 
6.8%
6 208
 
6.4%
8 206
 
6.3%
Other values (2) 392
12.0%
Latin
ValueCountFrequency (%)
a 1170
16.7%
l 1170
16.7%
N 585
8.3%
o 585
8.3%
t 585
8.3%
A 585
8.3%
v 585
8.3%
i 585
8.3%
b 585
8.3%
e 585
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1170
 
11.4%
l 1170
 
11.4%
N 585
 
5.7%
o 585
 
5.7%
t 585
 
5.7%
585
 
5.7%
A 585
 
5.7%
v 585
 
5.7%
i 585
 
5.7%
b 585
 
5.7%
Other values (12) 3266
31.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:51:07.711232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.034
Min length1

Characters and Unicode

Total characters1034
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 993
99.3%
1304260 1
 
0.1%
763384 1
 
0.1%
223938 1
 
0.1%
416191 1
 
0.1%
575000 1
 
0.1%
21900 1
 
0.1%
78680 1
 
0.1%
2023-12-09T20:51:07.994325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1001
96.8%
1 5
 
0.5%
3 5
 
0.5%
2 4
 
0.4%
6 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
7 3
 
0.3%
9 3
 
0.3%
5 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1034
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1001
96.8%
1 5
 
0.5%
3 5
 
0.5%
2 4
 
0.4%
6 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
7 3
 
0.3%
9 3
 
0.3%
5 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1034
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1001
96.8%
1 5
 
0.5%
3 5
 
0.5%
2 4
 
0.4%
6 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
7 3
 
0.3%
9 3
 
0.3%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1001
96.8%
1 5
 
0.5%
3 5
 
0.5%
2 4
 
0.4%
6 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
7 3
 
0.3%
9 3
 
0.3%
5 2
 
0.2%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:51:08.137370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.044
Min length1

Characters and Unicode

Total characters1044
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 991
98.9%
not 2
 
0.2%
available 2
 
0.2%
0.06 1
 
0.1%
0.24 1
 
0.1%
0.65 1
 
0.1%
1.75 1
 
0.1%
0.44 1
 
0.1%
1.54 1
 
0.1%
0.2 1
 
0.1%
2023-12-09T20:51:08.405883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 997
95.5%
. 7
 
0.7%
a 4
 
0.4%
4 4
 
0.4%
l 4
 
0.4%
5 3
 
0.3%
A 2
 
0.2%
v 2
 
0.2%
2
 
0.2%
i 2
 
0.2%
Other values (9) 17
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1011
96.8%
Lowercase Letter 20
 
1.9%
Other Punctuation 7
 
0.7%
Uppercase Letter 4
 
0.4%
Space Separator 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
v 2
10.0%
i 2
10.0%
b 2
10.0%
e 2
10.0%
t 2
10.0%
o 2
10.0%
Decimal Number
ValueCountFrequency (%)
0 997
98.6%
4 4
 
0.4%
5 3
 
0.3%
6 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
N 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1020
97.7%
Latin 24
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4
16.7%
l 4
16.7%
A 2
8.3%
v 2
8.3%
i 2
8.3%
N 2
8.3%
b 2
8.3%
e 2
8.3%
t 2
8.3%
o 2
8.3%
Common
ValueCountFrequency (%)
0 997
97.7%
. 7
 
0.7%
4 4
 
0.4%
5 3
 
0.3%
2
 
0.2%
6 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 997
95.5%
. 7
 
0.7%
a 4
 
0.4%
4 4
 
0.4%
l 4
 
0.4%
5 3
 
0.3%
A 2
 
0.2%
v 2
 
0.2%
2
 
0.2%
i 2
 
0.2%
Other values (9) 17
 
1.6%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:51:08.538780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.014
Min length1

Characters and Unicode

Total characters1014
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 997
99.7%
205000 1
 
0.1%
11544 1
 
0.1%
109324 1
 
0.1%
2023-12-09T20:51:08.793626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1002
98.8%
1 3
 
0.3%
4 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1014
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1002
98.8%
1 3
 
0.3%
4 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1014
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1002
98.8%
1 3
 
0.3%
4 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1014
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1002
98.8%
1 3
 
0.3%
4 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:51:08.924800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.033
Min length1

Characters and Unicode

Total characters1033
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 995
99.3%
not 2
 
0.2%
available 2
 
0.2%
0.46 1
 
0.1%
0.23 1
 
0.1%
0.13 1
 
0.1%
2023-12-09T20:51:09.190627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 998
96.6%
a 4
 
0.4%
l 4
 
0.4%
. 3
 
0.3%
t 2
 
0.2%
2
 
0.2%
A 2
 
0.2%
v 2
 
0.2%
o 2
 
0.2%
i 2
 
0.2%
Other values (8) 12
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1004
97.2%
Lowercase Letter 20
 
1.9%
Uppercase Letter 4
 
0.4%
Other Punctuation 3
 
0.3%
Space Separator 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
t 2
10.0%
v 2
10.0%
o 2
10.0%
i 2
10.0%
b 2
10.0%
e 2
10.0%
Decimal Number
ValueCountFrequency (%)
0 998
99.4%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
N 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1009
97.7%
Latin 24
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4
16.7%
l 4
16.7%
t 2
8.3%
A 2
8.3%
v 2
8.3%
o 2
8.3%
i 2
8.3%
N 2
8.3%
b 2
8.3%
e 2
8.3%
Common
ValueCountFrequency (%)
0 998
98.9%
. 3
 
0.3%
2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1033
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 998
96.6%
a 4
 
0.4%
l 4
 
0.4%
. 3
 
0.3%
t 2
 
0.2%
2
 
0.2%
A 2
 
0.2%
v 2
 
0.2%
o 2
 
0.2%
i 2
 
0.2%
Other values (8) 12
 
1.2%
Distinct208
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:51:09.588288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.565
Min length1

Characters and Unicode

Total characters9565
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)20.2%

Sample

1st rowNot Available
2nd row0
3rd row0
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 578
36.6%
available 578
36.6%
0 212
 
13.4%
1235776.21 2
 
0.1%
2389741.94 2
 
0.1%
546293.05 2
 
0.1%
3149864.14 2
 
0.1%
1230980.76 1
 
0.1%
240466.05 1
 
0.1%
217812.06 1
 
0.1%
Other values (199) 199
 
12.6%
2023-12-09T20:51:10.155085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1156
12.1%
l 1156
12.1%
N 578
 
6.0%
o 578
 
6.0%
t 578
 
6.0%
578
 
6.0%
A 578
 
6.0%
v 578
 
6.0%
i 578
 
6.0%
b 578
 
6.0%
Other values (12) 2629
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5780
60.4%
Decimal Number 1846
 
19.3%
Uppercase Letter 1156
 
12.1%
Space Separator 578
 
6.0%
Other Punctuation 205
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 329
17.8%
1 204
11.1%
2 198
10.7%
4 181
9.8%
9 174
9.4%
3 172
9.3%
5 168
9.1%
6 149
8.1%
8 137
7.4%
7 134
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1156
20.0%
l 1156
20.0%
o 578
10.0%
t 578
10.0%
v 578
10.0%
i 578
10.0%
b 578
10.0%
e 578
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 578
50.0%
A 578
50.0%
Space Separator
ValueCountFrequency (%)
578
100.0%
Other Punctuation
ValueCountFrequency (%)
. 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6936
72.5%
Common 2629
 
27.5%

Most frequent character per script

Common
ValueCountFrequency (%)
578
22.0%
0 329
12.5%
. 205
 
7.8%
1 204
 
7.8%
2 198
 
7.5%
4 181
 
6.9%
9 174
 
6.6%
3 172
 
6.5%
5 168
 
6.4%
6 149
 
5.7%
Other values (2) 271
10.3%
Latin
ValueCountFrequency (%)
a 1156
16.7%
l 1156
16.7%
N 578
8.3%
o 578
8.3%
t 578
8.3%
A 578
8.3%
v 578
8.3%
i 578
8.3%
b 578
8.3%
e 578
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1156
12.1%
l 1156
12.1%
N 578
 
6.0%
o 578
 
6.0%
t 578
 
6.0%
578
 
6.0%
A 578
 
6.0%
v 578
 
6.0%
i 578
 
6.0%
b 578
 
6.0%
Other values (12) 2629
27.5%
Distinct167
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:51:10.589980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.011
Min length1

Characters and Unicode

Total characters9011
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)16.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 579
36.7%
available 579
36.7%
0 256
16.2%
18795.18 1
 
0.1%
29878.83 1
 
0.1%
60223.42 1
 
0.1%
3032.19 1
 
0.1%
119575.58 1
 
0.1%
670.13 1
 
0.1%
125657.99 1
 
0.1%
Other values (158) 158
 
10.0%
2023-12-09T20:51:11.144933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1158
12.9%
l 1158
12.9%
N 579
 
6.4%
o 579
 
6.4%
t 579
 
6.4%
579
 
6.4%
A 579
 
6.4%
v 579
 
6.4%
i 579
 
6.4%
b 579
 
6.4%
Other values (12) 2063
22.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5790
64.3%
Decimal Number 1324
 
14.7%
Uppercase Letter 1158
 
12.9%
Space Separator 579
 
6.4%
Other Punctuation 160
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 336
25.4%
1 135
10.2%
4 130
 
9.8%
2 122
 
9.2%
5 115
 
8.7%
3 104
 
7.9%
6 101
 
7.6%
8 101
 
7.6%
7 95
 
7.2%
9 85
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1158
20.0%
l 1158
20.0%
o 579
10.0%
t 579
10.0%
v 579
10.0%
i 579
10.0%
b 579
10.0%
e 579
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 579
50.0%
A 579
50.0%
Space Separator
ValueCountFrequency (%)
579
100.0%
Other Punctuation
ValueCountFrequency (%)
. 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6948
77.1%
Common 2063
 
22.9%

Most frequent character per script

Common
ValueCountFrequency (%)
579
28.1%
0 336
16.3%
. 160
 
7.8%
1 135
 
6.5%
4 130
 
6.3%
2 122
 
5.9%
5 115
 
5.6%
3 104
 
5.0%
6 101
 
4.9%
8 101
 
4.9%
Other values (2) 180
 
8.7%
Latin
ValueCountFrequency (%)
a 1158
16.7%
l 1158
16.7%
N 579
8.3%
o 579
8.3%
t 579
8.3%
A 579
8.3%
v 579
8.3%
i 579
8.3%
b 579
8.3%
e 579
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1158
12.9%
l 1158
12.9%
N 579
 
6.4%
o 579
 
6.4%
t 579
 
6.4%
579
 
6.4%
A 579
 
6.4%
v 579
 
6.4%
i 579
 
6.4%
b 579
 
6.4%
Other values (12) 2063
22.9%
Distinct32
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:11.405293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.522
Min length1

Characters and Unicode

Total characters12522
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 943
48.5%
available 943
48.5%
0 27
 
1.4%
71711.19 1
 
0.1%
2211.82 1
 
0.1%
1928.93 1
 
0.1%
68650.6 1
 
0.1%
4710.34 1
 
0.1%
136602.68 1
 
0.1%
805.73 1
 
0.1%
Other values (23) 23
 
1.2%
2023-12-09T20:51:11.782196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1886
15.1%
l 1886
15.1%
N 943
7.5%
o 943
7.5%
t 943
7.5%
943
7.5%
A 943
7.5%
v 943
7.5%
i 943
7.5%
b 943
7.5%
Other values (12) 1206
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9430
75.3%
Uppercase Letter 1886
 
15.1%
Space Separator 943
 
7.5%
Decimal Number 234
 
1.9%
Other Punctuation 29
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
17.9%
1 27
11.5%
5 25
10.7%
3 24
10.3%
8 22
9.4%
6 21
9.0%
7 21
9.0%
2 19
8.1%
4 19
8.1%
9 14
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1886
20.0%
l 1886
20.0%
o 943
10.0%
t 943
10.0%
v 943
10.0%
i 943
10.0%
b 943
10.0%
e 943
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 943
50.0%
A 943
50.0%
Space Separator
ValueCountFrequency (%)
943
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11316
90.4%
Common 1206
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
943
78.2%
0 42
 
3.5%
. 29
 
2.4%
1 27
 
2.2%
5 25
 
2.1%
3 24
 
2.0%
8 22
 
1.8%
6 21
 
1.7%
7 21
 
1.7%
2 19
 
1.6%
Other values (2) 33
 
2.7%
Latin
ValueCountFrequency (%)
a 1886
16.7%
l 1886
16.7%
N 943
8.3%
o 943
8.3%
t 943
8.3%
A 943
8.3%
v 943
8.3%
i 943
8.3%
b 943
8.3%
e 943
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12522
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1886
15.1%
l 1886
15.1%
N 943
7.5%
o 943
7.5%
t 943
7.5%
943
7.5%
A 943
7.5%
v 943
7.5%
i 943
7.5%
b 943
7.5%
Other values (12) 1206
9.6%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:51:12.029105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.731
Min length1

Characters and Unicode

Total characters12731
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 962
49.0%
available 962
49.0%
0 12
 
0.6%
87991.98 1
 
0.1%
154464.89 1
 
0.1%
9648.39 1
 
0.1%
302842.92 1
 
0.1%
139551.05 1
 
0.1%
30052.31 1
 
0.1%
531.05 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T20:51:12.415015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1924
15.1%
l 1924
15.1%
N 962
7.6%
o 962
7.6%
t 962
7.6%
962
7.6%
A 962
7.6%
v 962
7.6%
i 962
7.6%
b 962
7.6%
Other values (12) 1187
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9620
75.6%
Uppercase Letter 1924
 
15.1%
Space Separator 962
 
7.6%
Decimal Number 200
 
1.6%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
15.0%
2 28
14.0%
8 20
10.0%
4 20
10.0%
9 19
9.5%
5 19
9.5%
1 19
9.5%
3 17
8.5%
6 16
8.0%
7 12
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1924
20.0%
l 1924
20.0%
o 962
10.0%
t 962
10.0%
v 962
10.0%
i 962
10.0%
b 962
10.0%
e 962
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 962
50.0%
A 962
50.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11544
90.7%
Common 1187
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
962
81.0%
0 30
 
2.5%
2 28
 
2.4%
. 25
 
2.1%
8 20
 
1.7%
4 20
 
1.7%
9 19
 
1.6%
5 19
 
1.6%
1 19
 
1.6%
3 17
 
1.4%
Other values (2) 28
 
2.4%
Latin
ValueCountFrequency (%)
a 1924
16.7%
l 1924
16.7%
N 962
8.3%
o 962
8.3%
t 962
8.3%
A 962
8.3%
v 962
8.3%
i 962
8.3%
b 962
8.3%
e 962
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1924
15.1%
l 1924
15.1%
N 962
7.6%
o 962
7.6%
t 962
7.6%
962
7.6%
A 962
7.6%
v 962
7.6%
i 962
7.6%
b 962
7.6%
Other values (12) 1187
9.3%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:12.641914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.843
Min length1

Characters and Unicode

Total characters12843
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
0 6
 
0.3%
68896.28 1
 
0.1%
81944.38 1
 
0.1%
189879.64 1
 
0.1%
62507.75 1
 
0.1%
203143.41 1
 
0.1%
267849.07 1
 
0.1%
435360.62 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T20:51:12.994241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.2%
l 1950
15.2%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1143
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
75.9%
Uppercase Letter 1950
 
15.2%
Space Separator 975
 
7.6%
Decimal Number 149
 
1.2%
Other Punctuation 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 19
12.8%
0 19
12.8%
4 18
12.1%
9 17
11.4%
3 17
11.4%
1 16
10.7%
2 14
9.4%
7 10
6.7%
6 10
6.7%
5 9
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
o 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
91.1%
Common 1143
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
975
85.3%
. 19
 
1.7%
8 19
 
1.7%
0 19
 
1.7%
4 18
 
1.6%
9 17
 
1.5%
3 17
 
1.5%
1 16
 
1.4%
2 14
 
1.2%
7 10
 
0.9%
Other values (2) 19
 
1.7%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%
o 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.2%
l 1950
15.2%
N 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
e 975
7.6%
Other values (12) 1143
8.9%
Distinct114
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:13.375507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.494
Min length1

Characters and Unicode

Total characters12494
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)10.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 880
46.8%
available 880
46.8%
0 4
 
0.2%
391082.25 2
 
0.1%
2113180 2
 
0.1%
531091.75 2
 
0.1%
576431.17 2
 
0.1%
1367046.98 1
 
0.1%
555710.45 1
 
0.1%
374781.6 1
 
0.1%
Other values (105) 105
 
5.6%
2023-12-09T20:51:13.904634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1760
14.1%
l 1760
14.1%
N 880
7.0%
o 880
7.0%
e 880
7.0%
i 880
7.0%
b 880
7.0%
v 880
7.0%
A 880
7.0%
880
7.0%
Other values (12) 1934
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8800
70.4%
Uppercase Letter 1760
 
14.1%
Decimal Number 940
 
7.5%
Space Separator 880
 
7.0%
Other Punctuation 114
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 149
15.9%
8 95
10.1%
6 94
10.0%
3 90
9.6%
9 90
9.6%
5 88
9.4%
7 85
9.0%
0 83
8.8%
2 83
8.8%
4 83
8.8%
Lowercase Letter
ValueCountFrequency (%)
a 1760
20.0%
l 1760
20.0%
o 880
10.0%
e 880
10.0%
i 880
10.0%
b 880
10.0%
v 880
10.0%
t 880
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 880
50.0%
A 880
50.0%
Space Separator
ValueCountFrequency (%)
880
100.0%
Other Punctuation
ValueCountFrequency (%)
. 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10560
84.5%
Common 1934
 
15.5%

Most frequent character per script

Common
ValueCountFrequency (%)
880
45.5%
1 149
 
7.7%
. 114
 
5.9%
8 95
 
4.9%
6 94
 
4.9%
3 90
 
4.7%
9 90
 
4.7%
5 88
 
4.6%
7 85
 
4.4%
0 83
 
4.3%
Other values (2) 166
 
8.6%
Latin
ValueCountFrequency (%)
a 1760
16.7%
l 1760
16.7%
N 880
8.3%
o 880
8.3%
e 880
8.3%
i 880
8.3%
b 880
8.3%
v 880
8.3%
A 880
8.3%
t 880
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1760
14.1%
l 1760
14.1%
N 880
7.0%
o 880
7.0%
e 880
7.0%
i 880
7.0%
b 880
7.0%
v 880
7.0%
A 880
7.0%
880
7.0%
Other values (12) 1934
15.5%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:14.107287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:14.414948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:14.592543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:14.898751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:51:15.143684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.372
Min length1

Characters and Unicode

Total characters12372
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 933
48.3%
available 933
48.3%
0 6
 
0.3%
0.29 3
 
0.2%
0.03 3
 
0.2%
0.07 3
 
0.2%
0.11 3
 
0.2%
0.19 3
 
0.2%
0.02 3
 
0.2%
0.14 2
 
0.1%
Other values (32) 41
 
2.1%
2023-12-09T20:51:15.537304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1866
15.1%
l 1866
15.1%
N 933
7.5%
o 933
7.5%
t 933
7.5%
933
7.5%
A 933
7.5%
v 933
7.5%
i 933
7.5%
b 933
7.5%
Other values (12) 1176
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9330
75.4%
Uppercase Letter 1866
 
15.1%
Space Separator 933
 
7.5%
Decimal Number 182
 
1.5%
Other Punctuation 61
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
44.5%
1 24
 
13.2%
2 17
 
9.3%
3 11
 
6.0%
4 11
 
6.0%
5 10
 
5.5%
9 9
 
4.9%
7 8
 
4.4%
6 8
 
4.4%
8 3
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1866
20.0%
l 1866
20.0%
o 933
10.0%
t 933
10.0%
v 933
10.0%
i 933
10.0%
b 933
10.0%
e 933
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 933
50.0%
A 933
50.0%
Space Separator
ValueCountFrequency (%)
933
100.0%
Other Punctuation
ValueCountFrequency (%)
. 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11196
90.5%
Common 1176
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
933
79.3%
0 81
 
6.9%
. 61
 
5.2%
1 24
 
2.0%
2 17
 
1.4%
3 11
 
0.9%
4 11
 
0.9%
5 10
 
0.9%
9 9
 
0.8%
7 8
 
0.7%
Other values (2) 11
 
0.9%
Latin
ValueCountFrequency (%)
a 1866
16.7%
l 1866
16.7%
N 933
8.3%
o 933
8.3%
t 933
8.3%
A 933
8.3%
v 933
8.3%
i 933
8.3%
b 933
8.3%
e 933
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1866
15.1%
l 1866
15.1%
N 933
7.5%
o 933
7.5%
t 933
7.5%
933
7.5%
A 933
7.5%
v 933
7.5%
i 933
7.5%
b 933
7.5%
Other values (12) 1176
9.5%
Distinct302
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:51:16.024643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.822
Min length1

Characters and Unicode

Total characters10822
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)30.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 694
41.0%
available 694
41.0%
0 6
 
0.4%
4597.4 1
 
0.1%
1882.7 1
 
0.1%
35700.8 1
 
0.1%
16389.8 1
 
0.1%
8617.6 1
 
0.1%
2163 1
 
0.1%
6784.4 1
 
0.1%
Other values (293) 293
17.3%
2023-12-09T20:51:16.663364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1388
12.8%
l 1388
12.8%
N 694
 
6.4%
t 694
 
6.4%
694
 
6.4%
A 694
 
6.4%
v 694
 
6.4%
i 694
 
6.4%
b 694
 
6.4%
e 694
 
6.4%
Other values (12) 2494
23.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6940
64.1%
Decimal Number 1532
 
14.2%
Uppercase Letter 1388
 
12.8%
Space Separator 694
 
6.4%
Other Punctuation 268
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 208
13.6%
5 190
12.4%
1 181
11.8%
3 170
11.1%
7 152
9.9%
4 146
9.5%
6 144
9.4%
8 134
8.7%
9 104
6.8%
0 103
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1388
20.0%
l 1388
20.0%
t 694
10.0%
v 694
10.0%
i 694
10.0%
b 694
10.0%
e 694
10.0%
o 694
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 694
50.0%
A 694
50.0%
Space Separator
ValueCountFrequency (%)
694
100.0%
Other Punctuation
ValueCountFrequency (%)
. 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8328
77.0%
Common 2494
 
23.0%

Most frequent character per script

Common
ValueCountFrequency (%)
694
27.8%
. 268
 
10.7%
2 208
 
8.3%
5 190
 
7.6%
1 181
 
7.3%
3 170
 
6.8%
7 152
 
6.1%
4 146
 
5.9%
6 144
 
5.8%
8 134
 
5.4%
Other values (2) 207
 
8.3%
Latin
ValueCountFrequency (%)
a 1388
16.7%
l 1388
16.7%
N 694
8.3%
t 694
8.3%
A 694
8.3%
v 694
8.3%
i 694
8.3%
b 694
8.3%
e 694
8.3%
o 694
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1388
12.8%
l 1388
12.8%
N 694
 
6.4%
t 694
 
6.4%
694
 
6.4%
A 694
 
6.4%
v 694
 
6.4%
i 694
 
6.4%
b 694
 
6.4%
e 694
 
6.4%
Other values (12) 2494
23.0%
Distinct293
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2023-12-09T20:51:17.186908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.462
Min length1

Characters and Unicode

Total characters10462
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)28.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 695
41.0%
available 695
41.0%
0 6
 
0.4%
15.35 2
 
0.1%
46.36 2
 
0.1%
18.72 2
 
0.1%
12.96 2
 
0.1%
19.43 2
 
0.1%
18.99 2
 
0.1%
12.64 2
 
0.1%
Other values (284) 285
16.8%
2023-12-09T20:51:17.835569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1390
13.3%
l 1390
13.3%
N 695
 
6.6%
o 695
 
6.6%
e 695
 
6.6%
i 695
 
6.6%
b 695
 
6.6%
v 695
 
6.6%
A 695
 
6.6%
695
 
6.6%
Other values (12) 2122
20.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6950
66.4%
Uppercase Letter 1390
 
13.3%
Decimal Number 1137
 
10.9%
Space Separator 695
 
6.6%
Other Punctuation 290
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 202
17.8%
2 135
11.9%
3 126
11.1%
5 114
10.0%
4 111
9.8%
8 102
9.0%
6 97
8.5%
7 95
8.4%
9 95
8.4%
0 60
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1390
20.0%
l 1390
20.0%
o 695
10.0%
e 695
10.0%
i 695
10.0%
b 695
10.0%
v 695
10.0%
t 695
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 695
50.0%
A 695
50.0%
Space Separator
ValueCountFrequency (%)
695
100.0%
Other Punctuation
ValueCountFrequency (%)
. 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8340
79.7%
Common 2122
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
695
32.8%
. 290
13.7%
1 202
 
9.5%
2 135
 
6.4%
3 126
 
5.9%
5 114
 
5.4%
4 111
 
5.2%
8 102
 
4.8%
6 97
 
4.6%
7 95
 
4.5%
Other values (2) 155
 
7.3%
Latin
ValueCountFrequency (%)
a 1390
16.7%
l 1390
16.7%
N 695
8.3%
o 695
8.3%
e 695
8.3%
i 695
8.3%
b 695
8.3%
v 695
8.3%
A 695
8.3%
t 695
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1390
13.3%
l 1390
13.3%
N 695
 
6.6%
o 695
 
6.6%
e 695
 
6.6%
i 695
 
6.6%
b 695
 
6.6%
v 695
 
6.6%
A 695
 
6.6%
695
 
6.6%
Other values (12) 2122
20.3%
Distinct403
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size65.6 KiB
2023-12-09T20:51:18.314452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.052
Min length1

Characters and Unicode

Total characters10052
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)39.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 587
37.0%
available 587
37.0%
0 7
 
0.4%
32230.1 2
 
0.1%
11600.5 2
 
0.1%
4275.1 2
 
0.1%
2088.8 2
 
0.1%
4757.6 2
 
0.1%
5087 1
 
0.1%
2040.7 1
 
0.1%
Other values (394) 394
24.8%
2023-12-09T20:51:18.936974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1174
 
11.7%
l 1174
 
11.7%
N 587
 
5.8%
o 587
 
5.8%
b 587
 
5.8%
i 587
 
5.8%
e 587
 
5.8%
v 587
 
5.8%
A 587
 
5.8%
587
 
5.8%
Other values (12) 3008
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5870
58.4%
Decimal Number 2062
 
20.5%
Uppercase Letter 1174
 
11.7%
Space Separator 587
 
5.8%
Other Punctuation 359
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 270
13.1%
1 256
12.4%
5 239
11.6%
3 229
11.1%
4 215
10.4%
7 204
9.9%
6 198
9.6%
8 166
8.1%
9 145
7.0%
0 140
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1174
20.0%
l 1174
20.0%
o 587
10.0%
b 587
10.0%
i 587
10.0%
e 587
10.0%
v 587
10.0%
t 587
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 587
50.0%
A 587
50.0%
Space Separator
ValueCountFrequency (%)
587
100.0%
Other Punctuation
ValueCountFrequency (%)
. 359
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7044
70.1%
Common 3008
29.9%

Most frequent character per script

Common
ValueCountFrequency (%)
587
19.5%
. 359
11.9%
2 270
9.0%
1 256
8.5%
5 239
7.9%
3 229
 
7.6%
4 215
 
7.1%
7 204
 
6.8%
6 198
 
6.6%
8 166
 
5.5%
Other values (2) 285
9.5%
Latin
ValueCountFrequency (%)
a 1174
16.7%
l 1174
16.7%
N 587
8.3%
o 587
8.3%
b 587
8.3%
i 587
8.3%
e 587
8.3%
v 587
8.3%
A 587
8.3%
t 587
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1174
 
11.7%
l 1174
 
11.7%
N 587
 
5.8%
o 587
 
5.8%
b 587
 
5.8%
i 587
 
5.8%
e 587
 
5.8%
v 587
 
5.8%
A 587
 
5.8%
587
 
5.8%
Other values (12) 3008
29.9%
Distinct304
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:51:19.397389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.794
Min length1

Characters and Unicode

Total characters10794
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)30.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 690
40.8%
available 690
40.8%
0 6
 
0.4%
5866.1 2
 
0.1%
2481.4 2
 
0.1%
25552.3 1
 
0.1%
502.2 1
 
0.1%
1882.7 1
 
0.1%
35700.8 1
 
0.1%
16389.8 1
 
0.1%
Other values (295) 295
17.5%
2023-12-09T20:51:19.983058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1380
12.8%
l 1380
12.8%
N 690
 
6.4%
o 690
 
6.4%
b 690
 
6.4%
i 690
 
6.4%
e 690
 
6.4%
v 690
 
6.4%
A 690
 
6.4%
690
 
6.4%
Other values (12) 2514
23.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6900
63.9%
Decimal Number 1552
 
14.4%
Uppercase Letter 1380
 
12.8%
Space Separator 690
 
6.4%
Other Punctuation 272
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 210
13.5%
5 193
12.4%
1 185
11.9%
3 169
10.9%
7 152
9.8%
4 150
9.7%
6 148
9.5%
8 139
9.0%
0 103
6.6%
9 103
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1380
20.0%
l 1380
20.0%
o 690
10.0%
b 690
10.0%
i 690
10.0%
e 690
10.0%
v 690
10.0%
t 690
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 690
50.0%
A 690
50.0%
Space Separator
ValueCountFrequency (%)
690
100.0%
Other Punctuation
ValueCountFrequency (%)
. 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8280
76.7%
Common 2514
 
23.3%

Most frequent character per script

Common
ValueCountFrequency (%)
690
27.4%
. 272
 
10.8%
2 210
 
8.4%
5 193
 
7.7%
1 185
 
7.4%
3 169
 
6.7%
7 152
 
6.0%
4 150
 
6.0%
6 148
 
5.9%
8 139
 
5.5%
Other values (2) 206
 
8.2%
Latin
ValueCountFrequency (%)
a 1380
16.7%
l 1380
16.7%
N 690
8.3%
o 690
8.3%
b 690
8.3%
i 690
8.3%
e 690
8.3%
v 690
8.3%
A 690
8.3%
t 690
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1380
12.8%
l 1380
12.8%
N 690
 
6.4%
o 690
 
6.4%
b 690
 
6.4%
i 690
 
6.4%
e 690
 
6.4%
v 690
 
6.4%
A 690
 
6.4%
690
 
6.4%
Other values (12) 2514
23.3%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:20.166049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:20.445544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:20.612832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.997
Min length10

Characters and Unicode

Total characters12997
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1000005367 1
 
0.1%
2023-12-09T20:51:20.901492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
50.0%
1 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
6 1
 
10.0%
7 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.0%
0 5
 
0.5%
1 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1009
7.8%
Distinct329
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:51:21.159864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)28.7%

Sample

1st row09/03/2014 11:15 PM EDT
2nd row09/03/2014 11:15 PM EDT
3rd row09/03/2014 11:15 PM EDT
4th row09/03/2014 11:15 PM EDT
5th row09/03/2014 11:15 PM EDT
ValueCountFrequency (%)
edt 942
23.5%
pm 911
22.8%
09/03/2014 546
13.7%
11:20 248
 
6.2%
11:19 175
 
4.4%
04/15/2015 117
 
2.9%
am 89
 
2.2%
04/29/2015 71
 
1.8%
est 58
 
1.5%
11:17 54
 
1.4%
Other values (342) 789
19.7%
2023-12-09T20:51:21.565253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3354
14.6%
3000
13.0%
1 2917
12.7%
/ 2000
8.7%
2 1659
 
7.2%
4 1269
 
5.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4801
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3354
28.0%
1 2917
24.3%
2 1659
13.8%
4 1269
 
10.6%
9 874
 
7.3%
3 800
 
6.7%
5 754
 
6.3%
7 149
 
1.2%
6 119
 
1.0%
8 105
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 942
18.8%
P 911
18.2%
A 89
 
1.8%
S 58
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3354
18.6%
3000
16.7%
1 2917
16.2%
/ 2000
11.1%
2 1659
9.2%
4 1269
 
7.0%
: 1000
 
5.6%
9 874
 
4.9%
3 800
 
4.4%
5 754
 
4.2%
Other values (3) 373
 
2.1%
Latin
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 942
18.8%
P 911
18.2%
A 89
 
1.8%
S 58
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3354
14.6%
3000
13.0%
1 2917
12.7%
/ 2000
8.7%
2 1659
 
7.2%
4 1269
 
5.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4801
20.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:21.760063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
3100 1
 
0.1%
2023-12-09T20:51:22.040141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
3 1
25.0%
1 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:22.210195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:22.491034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:22.656964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:22.930414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:23.144469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.816
Min length4

Characters and Unicode

Total characters12816
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.4%
available 978
49.4%
17076 1
 
0.1%
13287 1
 
0.1%
13020 1
 
0.1%
10000 1
 
0.1%
4045 1
 
0.1%
12174 1
 
0.1%
22988 1
 
0.1%
2877 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:51:23.478575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.6%
o 978
7.6%
b 978
7.6%
i 978
7.6%
e 978
7.6%
v 978
7.6%
A 978
7.6%
978
7.6%
Other values (11) 1080
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9780
76.3%
Uppercase Letter 1956
 
15.3%
Space Separator 978
 
7.6%
Decimal Number 102
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
18.6%
7 15
14.7%
0 13
12.7%
2 11
10.8%
3 10
9.8%
4 9
8.8%
6 7
 
6.9%
8 7
 
6.9%
5 6
 
5.9%
9 5
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1956
20.0%
l 1956
20.0%
o 978
10.0%
b 978
10.0%
i 978
10.0%
e 978
10.0%
v 978
10.0%
t 978
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 978
50.0%
A 978
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11736
91.6%
Common 1080
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
978
90.6%
1 19
 
1.8%
7 15
 
1.4%
0 13
 
1.2%
2 11
 
1.0%
3 10
 
0.9%
4 9
 
0.8%
6 7
 
0.6%
8 7
 
0.6%
5 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1956
16.7%
l 1956
16.7%
N 978
8.3%
o 978
8.3%
b 978
8.3%
i 978
8.3%
e 978
8.3%
v 978
8.3%
A 978
8.3%
t 978
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.6%
o 978
7.6%
b 978
7.6%
i 978
7.6%
e 978
7.6%
v 978
7.6%
A 978
7.6%
978
7.6%
Other values (11) 1080
8.4%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:51:23.675832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.759
Min length1

Characters and Unicode

Total characters12759
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.4%
available 978
49.4%
15 5
 
0.3%
10 3
 
0.2%
16 2
 
0.1%
5 1
 
0.1%
26 1
 
0.1%
55 1
 
0.1%
14 1
 
0.1%
29 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:51:23.985051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.7%
o 978
7.7%
b 978
7.7%
i 978
7.7%
e 978
7.7%
v 978
7.7%
A 978
7.7%
978
7.7%
Other values (11) 1023
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9780
76.7%
Uppercase Letter 1956
 
15.3%
Space Separator 978
 
7.7%
Decimal Number 44
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
31.8%
5 8
18.2%
0 4
 
9.1%
2 4
 
9.1%
4 4
 
9.1%
3 4
 
9.1%
6 3
 
6.8%
9 2
 
4.5%
7 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1956
20.0%
l 1956
20.0%
o 978
10.0%
b 978
10.0%
i 978
10.0%
e 978
10.0%
v 978
10.0%
t 978
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 978
50.0%
A 978
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11736
92.0%
Common 1023
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
978
95.6%
1 14
 
1.4%
5 8
 
0.8%
0 4
 
0.4%
2 4
 
0.4%
4 4
 
0.4%
3 4
 
0.4%
6 3
 
0.3%
9 2
 
0.2%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1956
16.7%
l 1956
16.7%
N 978
8.3%
o 978
8.3%
b 978
8.3%
i 978
8.3%
e 978
8.3%
v 978
8.3%
A 978
8.3%
t 978
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.7%
o 978
7.7%
b 978
7.7%
i 978
7.7%
e 978
7.7%
v 978
7.7%
A 978
7.7%
978
7.7%
Other values (11) 1023
8.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:24.158939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:24.444971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:24.654081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.882
Min length5

Characters and Unicode

Total characters12882
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 984
49.6%
available 984
49.6%
108124 1
 
0.1%
59000 1
 
0.1%
14347 1
 
0.1%
12458 1
 
0.1%
60537 1
 
0.1%
108125 1
 
0.1%
42217 1
 
0.1%
128572 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T20:51:24.998893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1968
15.3%
l 1968
15.3%
N 984
7.6%
o 984
7.6%
b 984
7.6%
i 984
7.6%
e 984
7.6%
v 984
7.6%
A 984
7.6%
984
7.6%
Other values (11) 1074
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9840
76.4%
Uppercase Letter 1968
 
15.3%
Space Separator 984
 
7.6%
Decimal Number 90
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
17.8%
0 12
13.3%
5 11
12.2%
4 10
11.1%
2 10
11.1%
8 9
10.0%
3 7
7.8%
7 7
7.8%
9 5
 
5.6%
6 3
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1968
20.0%
l 1968
20.0%
o 984
10.0%
b 984
10.0%
i 984
10.0%
e 984
10.0%
v 984
10.0%
t 984
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 984
50.0%
A 984
50.0%
Space Separator
ValueCountFrequency (%)
984
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11808
91.7%
Common 1074
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
984
91.6%
1 16
 
1.5%
0 12
 
1.1%
5 11
 
1.0%
4 10
 
0.9%
2 10
 
0.9%
8 9
 
0.8%
3 7
 
0.7%
7 7
 
0.7%
9 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1968
16.7%
l 1968
16.7%
N 984
8.3%
o 984
8.3%
b 984
8.3%
i 984
8.3%
e 984
8.3%
v 984
8.3%
A 984
8.3%
t 984
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1968
15.3%
l 1968
15.3%
N 984
7.6%
o 984
7.6%
b 984
7.6%
i 984
7.6%
e 984
7.6%
v 984
7.6%
A 984
7.6%
984
7.6%
Other values (11) 1074
8.3%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:25.184106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length1

Characters and Unicode

Total characters12910
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
250 2
 
0.1%
120 1
 
0.1%
2000 1
 
0.1%
240 1
 
0.1%
275 1
 
0.1%
1000 1
 
0.1%
400 1
 
0.1%
5 1
 
0.1%
2023-12-09T20:51:25.476219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1018
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.8%
Uppercase Letter 1982
 
15.4%
Space Separator 991
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1982
20.0%
a 1982
20.0%
e 991
10.0%
b 991
10.0%
o 991
10.0%
i 991
10.0%
v 991
10.0%
t 991
10.0%
Decimal Number
ValueCountFrequency (%)
0 12
44.4%
2 6
22.2%
5 4
 
14.8%
1 2
 
7.4%
4 2
 
7.4%
7 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.1%
Common 1018
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1982
16.7%
a 1982
16.7%
e 991
8.3%
b 991
8.3%
o 991
8.3%
i 991
8.3%
N 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
97.3%
0 12
 
1.2%
2 6
 
0.6%
5 4
 
0.4%
1 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1018
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:25.641494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:25.912898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:26.093611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.954
Min length3

Characters and Unicode

Total characters12954
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
7231 1
 
0.1%
375 1
 
0.1%
613 1
 
0.1%
16455 1
 
0.1%
1811 1
 
0.1%
2023-12-09T20:51:27.062312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1014
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 19
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
31.6%
3 3
15.8%
5 3
15.8%
7 2
 
10.5%
6 2
 
10.5%
2 1
 
5.3%
4 1
 
5.3%
8 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1014
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
98.1%
1 6
 
0.6%
3 3
 
0.3%
5 3
 
0.3%
7 2
 
0.2%
6 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1014
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:27.235074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:27.514415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:27.680102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:27.957757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:28.123917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:28.403188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:28.566658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:28.863779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:29.032750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:29.423591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:29.670414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.83
Min length1

Characters and Unicode

Total characters12830
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 3
 
0.2%
1386656.6 2
 
0.1%
4058788.7 1
 
0.1%
7574832.9 1
 
0.1%
1244537.9 1
 
0.1%
18637886.9 1
 
0.1%
185695.8 1
 
0.1%
537710.4 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:51:30.047704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.1%
l 1936
15.1%
N 968
7.5%
t 968
7.5%
968
7.5%
A 968
7.5%
v 968
7.5%
i 968
7.5%
b 968
7.5%
e 968
7.5%
Other values (12) 1214
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
75.4%
Uppercase Letter 1936
 
15.1%
Space Separator 968
 
7.5%
Decimal Number 223
 
1.7%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 28
12.6%
1 26
11.7%
3 26
11.7%
8 25
11.2%
4 21
9.4%
5 21
9.4%
6 21
9.4%
2 19
8.5%
0 19
8.5%
9 17
7.6%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
t 968
10.0%
v 968
10.0%
i 968
10.0%
b 968
10.0%
e 968
10.0%
o 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
90.5%
Common 1214
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
968
79.7%
7 28
 
2.3%
1 26
 
2.1%
3 26
 
2.1%
8 25
 
2.1%
. 23
 
1.9%
4 21
 
1.7%
5 21
 
1.7%
6 21
 
1.7%
2 19
 
1.6%
Other values (2) 36
 
3.0%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
t 968
8.3%
A 968
8.3%
v 968
8.3%
i 968
8.3%
b 968
8.3%
e 968
8.3%
o 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.1%
l 1936
15.1%
N 968
7.5%
t 968
7.5%
968
7.5%
A 968
7.5%
v 968
7.5%
i 968
7.5%
b 968
7.5%
e 968
7.5%
Other values (12) 1214
9.5%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:30.301554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.87
Min length1

Characters and Unicode

Total characters12870
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 968
49.2%
available 968
49.2%
0 3
 
0.2%
14856195.4 2
 
0.1%
6377093.5 1
 
0.1%
24584689.3 1
 
0.1%
19587081.5 1
 
0.1%
65639156.3 1
 
0.1%
13333581.2 1
 
0.1%
8391015.1 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:51:30.693653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1936
15.0%
l 1936
15.0%
N 968
7.5%
o 968
7.5%
b 968
7.5%
i 968
7.5%
e 968
7.5%
v 968
7.5%
A 968
7.5%
968
7.5%
Other values (12) 1254
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9680
75.2%
Uppercase Letter 1936
 
15.0%
Space Separator 968
 
7.5%
Decimal Number 258
 
2.0%
Other Punctuation 28
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 37
14.3%
5 33
12.8%
4 30
11.6%
9 28
10.9%
3 27
10.5%
8 24
9.3%
2 23
8.9%
6 21
8.1%
0 18
7.0%
7 17
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 1936
20.0%
l 1936
20.0%
o 968
10.0%
b 968
10.0%
i 968
10.0%
e 968
10.0%
v 968
10.0%
t 968
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 968
50.0%
A 968
50.0%
Space Separator
ValueCountFrequency (%)
968
100.0%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11616
90.3%
Common 1254
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
968
77.2%
1 37
 
3.0%
5 33
 
2.6%
4 30
 
2.4%
9 28
 
2.2%
. 28
 
2.2%
3 27
 
2.2%
8 24
 
1.9%
2 23
 
1.8%
6 21
 
1.7%
Other values (2) 35
 
2.8%
Latin
ValueCountFrequency (%)
a 1936
16.7%
l 1936
16.7%
N 968
8.3%
o 968
8.3%
b 968
8.3%
i 968
8.3%
e 968
8.3%
v 968
8.3%
A 968
8.3%
t 968
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1936
15.0%
l 1936
15.0%
N 968
7.5%
o 968
7.5%
b 968
7.5%
i 968
7.5%
e 968
7.5%
v 968
7.5%
A 968
7.5%
968
7.5%
Other values (12) 1254
9.7%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:30.882858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:31.158530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:31.324558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99
Min length3

Characters and Unicode

Total characters12990
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1.8 1
 
0.1%
2023-12-09T20:51:31.605096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.7%
1 1
 
0.1%
. 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1002
7.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:31.781028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.854
Min length1

Characters and Unicode

Total characters12854
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.0%
available 978
49.0%
n+1 13
 
0.7%
none 5
 
0.3%
of 5
 
0.3%
the 5
 
0.3%
above 5
 
0.3%
n 5
 
0.3%
2n 1
 
0.1%
n+2 1
 
0.1%
2023-12-09T20:51:32.084445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 1003
7.8%
996
7.7%
e 993
7.7%
o 993
7.7%
b 983
7.6%
v 983
7.6%
A 983
7.6%
t 983
7.6%
Other values (8) 1025
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9840
76.6%
Uppercase Letter 1986
 
15.5%
Space Separator 996
 
7.7%
Decimal Number 15
 
0.1%
Math Symbol 14
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1956
19.9%
l 1956
19.9%
e 993
10.1%
o 993
10.1%
b 983
10.0%
v 983
10.0%
t 983
10.0%
i 978
9.9%
n 5
 
0.1%
f 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1003
50.5%
A 983
49.5%
Decimal Number
ValueCountFrequency (%)
1 13
86.7%
2 2
 
13.3%
Space Separator
ValueCountFrequency (%)
996
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11826
92.0%
Common 1028
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1956
16.5%
l 1956
16.5%
N 1003
8.5%
e 993
8.4%
o 993
8.4%
b 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%
i 978
8.3%
Other values (3) 15
 
0.1%
Common
ValueCountFrequency (%)
996
96.9%
+ 14
 
1.4%
1 13
 
1.3%
, 3
 
0.3%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 1003
7.8%
996
7.7%
e 993
7.7%
o 993
7.7%
b 983
7.6%
v 983
7.6%
A 983
7.6%
t 983
7.6%
Other values (8) 1025
8.0%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:51:32.318430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.633
Min length1

Characters and Unicode

Total characters12633
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 958
48.9%
available 958
48.9%
0 4
 
0.2%
6320 2
 
0.1%
133983 1
 
0.1%
830 1
 
0.1%
13479 1
 
0.1%
1100 1
 
0.1%
33176 1
 
0.1%
40000 1
 
0.1%
Other values (30) 30
 
1.5%
2023-12-09T20:51:32.679411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1916
15.2%
l 1916
15.2%
N 958
7.6%
o 958
7.6%
b 958
7.6%
i 958
7.6%
e 958
7.6%
v 958
7.6%
A 958
7.6%
958
7.6%
Other values (11) 1137
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9580
75.8%
Uppercase Letter 1916
 
15.2%
Space Separator 958
 
7.6%
Decimal Number 179
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
26.8%
3 23
12.8%
1 21
11.7%
2 14
 
7.8%
6 13
 
7.3%
8 13
 
7.3%
7 12
 
6.7%
4 12
 
6.7%
5 12
 
6.7%
9 11
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1916
20.0%
l 1916
20.0%
o 958
10.0%
b 958
10.0%
i 958
10.0%
e 958
10.0%
v 958
10.0%
t 958
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 958
50.0%
A 958
50.0%
Space Separator
ValueCountFrequency (%)
958
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11496
91.0%
Common 1137
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
958
84.3%
0 48
 
4.2%
3 23
 
2.0%
1 21
 
1.8%
2 14
 
1.2%
6 13
 
1.1%
8 13
 
1.1%
7 12
 
1.1%
4 12
 
1.1%
5 12
 
1.1%
Latin
ValueCountFrequency (%)
a 1916
16.7%
l 1916
16.7%
N 958
8.3%
o 958
8.3%
b 958
8.3%
i 958
8.3%
e 958
8.3%
v 958
8.3%
A 958
8.3%
t 958
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12633
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1916
15.2%
l 1916
15.2%
N 958
7.6%
o 958
7.6%
b 958
7.6%
i 958
7.6%
e 958
7.6%
v 958
7.6%
A 958
7.6%
958
7.6%
Other values (11) 1137
9.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size70.9 KiB
2023-12-09T20:51:32.887300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length73
Median length13
Mean length15.508
Min length13

Characters and Unicode

Total characters15508
Distinct characters38
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 958
41.7%
available 958
41.7%
ups 42
 
1.8%
only 41
 
1.8%
preferred 41
 
1.8%
it 41
 
1.8%
equipment 41
 
1.8%
supports 41
 
1.8%
supply 41
 
1.8%
power 41
 
1.8%
Other values (9) 50
 
2.2%
2023-12-09T20:51:33.218908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2042
13.2%
a 1920
12.4%
1295
8.4%
e 1250
8.1%
t 1125
7.3%
o 1084
 
7.0%
i 1083
 
7.0%
b 1000
 
6.4%
v 958
 
6.2%
A 958
 
6.2%
Other values (28) 2793
18.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11753
75.8%
Uppercase Letter 2290
 
14.8%
Space Separator 1295
 
8.4%
Close Punctuation 82
 
0.5%
Open Punctuation 82
 
0.5%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2042
17.4%
a 1920
16.3%
e 1250
10.6%
t 1125
9.6%
o 1084
9.2%
i 1083
9.2%
b 1000
8.5%
v 958
8.2%
r 290
 
2.5%
p 287
 
2.4%
Other values (12) 714
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 958
41.8%
N 958
41.8%
U 83
 
3.6%
P 83
 
3.6%
S 83
 
3.6%
I 42
 
1.8%
T 42
 
1.8%
E 41
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
% 1
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
1295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14043
90.6%
Common 1465
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2042
14.5%
a 1920
13.7%
e 1250
8.9%
t 1125
8.0%
o 1084
7.7%
i 1083
7.7%
b 1000
7.1%
v 958
6.8%
A 958
6.8%
N 958
6.8%
Other values (20) 1665
11.9%
Common
ValueCountFrequency (%)
1295
88.4%
) 82
 
5.6%
( 82
 
5.6%
- 2
 
0.1%
, 1
 
0.1%
1 1
 
0.1%
0 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2042
13.2%
a 1920
12.4%
1295
8.4%
e 1250
8.1%
t 1125
7.3%
o 1084
 
7.0%
i 1083
 
7.0%
b 1000
 
6.4%
v 958
 
6.2%
A 958
 
6.2%
Other values (28) 2793
18.0%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:33.401934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.837
Min length1

Characters and Unicode

Total characters12837
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.1%
available 978
49.1%
n+1 12
 
0.6%
n 6
 
0.3%
none 4
 
0.2%
of 4
 
0.2%
the 4
 
0.2%
above 4
 
0.2%
2n 2
 
0.1%
n+2 1
 
0.1%
2023-12-09T20:51:33.717107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 1003
7.8%
993
7.7%
e 990
7.7%
o 990
7.7%
b 982
7.6%
v 982
7.6%
A 982
7.6%
t 982
7.6%
Other values (8) 1021
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9828
76.6%
Uppercase Letter 1985
 
15.5%
Space Separator 993
 
7.7%
Decimal Number 15
 
0.1%
Math Symbol 13
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1956
19.9%
l 1956
19.9%
e 990
10.1%
o 990
10.1%
b 982
10.0%
v 982
10.0%
t 982
10.0%
i 978
10.0%
n 4
 
< 0.1%
f 4
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1003
50.5%
A 982
49.5%
Decimal Number
ValueCountFrequency (%)
1 12
80.0%
2 3
 
20.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11813
92.0%
Common 1024
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1956
16.6%
l 1956
16.6%
N 1003
8.5%
e 990
8.4%
o 990
8.4%
b 982
8.3%
v 982
8.3%
A 982
8.3%
t 982
8.3%
i 978
8.3%
Other values (3) 12
 
0.1%
Common
ValueCountFrequency (%)
993
97.0%
+ 13
 
1.3%
1 12
 
1.2%
, 3
 
0.3%
2 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12837
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 1003
7.8%
993
7.7%
e 990
7.7%
o 990
7.7%
b 982
7.6%
v 982
7.6%
A 982
7.6%
t 982
7.6%
Other values (8) 1021
8.0%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:33.893475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.963
Min length5

Characters and Unicode

Total characters12963
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
61284 1
 
0.1%
207000 1
 
0.1%
200000 1
 
0.1%
130000 1
 
0.1%
68000 1
 
0.1%
2023-12-09T20:51:34.197832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1023
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 28
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 16
57.1%
2 3
 
10.7%
6 2
 
7.1%
1 2
 
7.1%
8 2
 
7.1%
4 1
 
3.6%
7 1
 
3.6%
3 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1023
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.3%
0 16
 
1.6%
2 3
 
0.3%
6 2
 
0.2%
1 2
 
0.2%
8 2
 
0.2%
4 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1023
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:34.363608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:34.641484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:34.805314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:35.079911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:35.275574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.866
Min length4

Characters and Unicode

Total characters12866
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
1200 2
 
0.1%
2761 1
 
0.1%
5200 1
 
0.1%
2272 1
 
0.1%
1252 1
 
0.1%
2696 1
 
0.1%
4235 1
 
0.1%
5478 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:35.585581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1046
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.6%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 61
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 13
21.3%
1 10
16.4%
0 9
14.8%
5 8
13.1%
9 5
 
8.2%
4 5
 
8.2%
7 3
 
4.9%
6 3
 
4.9%
8 3
 
4.9%
3 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.9%
Common 1046
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
985
94.2%
2 13
 
1.2%
1 10
 
1.0%
0 9
 
0.9%
5 8
 
0.8%
9 5
 
0.5%
4 5
 
0.5%
7 3
 
0.3%
6 3
 
0.3%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1046
8.1%
Distinct66
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:51:35.882851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.449
Min length4

Characters and Unicode

Total characters12449
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)6.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row345688
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
48.2%
available 932
48.2%
155006 2
 
0.1%
4000 2
 
0.1%
715659 2
 
0.1%
10561 1
 
0.1%
61244 1
 
0.1%
558809 1
 
0.1%
3496 1
 
0.1%
287098 1
 
0.1%
Other values (57) 57
 
3.0%
2023-12-09T20:51:36.300769image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1864
15.0%
l 1864
15.0%
N 932
7.5%
o 932
7.5%
b 932
7.5%
i 932
7.5%
e 932
7.5%
v 932
7.5%
A 932
7.5%
932
7.5%
Other values (11) 1265
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
74.9%
Uppercase Letter 1864
 
15.0%
Space Separator 932
 
7.5%
Decimal Number 333
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
17.1%
1 47
14.1%
5 36
10.8%
2 31
9.3%
4 29
8.7%
3 29
8.7%
9 28
8.4%
6 27
8.1%
8 26
7.8%
7 23
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1864
20.0%
l 1864
20.0%
o 932
10.0%
b 932
10.0%
i 932
10.0%
e 932
10.0%
v 932
10.0%
t 932
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 932
50.0%
A 932
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11184
89.8%
Common 1265
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
932
73.7%
0 57
 
4.5%
1 47
 
3.7%
5 36
 
2.8%
2 31
 
2.5%
4 29
 
2.3%
3 29
 
2.3%
9 28
 
2.2%
6 27
 
2.1%
8 26
 
2.1%
Latin
ValueCountFrequency (%)
a 1864
16.7%
l 1864
16.7%
N 932
8.3%
o 932
8.3%
b 932
8.3%
i 932
8.3%
e 932
8.3%
v 932
8.3%
A 932
8.3%
t 932
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1864
15.0%
l 1864
15.0%
N 932
7.5%
o 932
7.5%
b 932
7.5%
i 932
7.5%
e 932
7.5%
v 932
7.5%
A 932
7.5%
932
7.5%
Other values (11) 1265
10.2%
Distinct45
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:51:36.560624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.307
Min length1

Characters and Unicode

Total characters12307
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd row600
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
48.2%
available 932
48.2%
10 6
 
0.3%
15 4
 
0.2%
20 4
 
0.2%
17 3
 
0.2%
37 3
 
0.2%
18 2
 
0.1%
25 2
 
0.1%
3095 2
 
0.1%
Other values (36) 42
 
2.2%
2023-12-09T20:51:36.961793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1864
15.1%
l 1864
15.1%
N 932
7.6%
o 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
Other values (12) 1123
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
75.7%
Uppercase Letter 1864
 
15.1%
Space Separator 932
 
7.6%
Decimal Number 183
 
1.5%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
18.6%
0 33
18.0%
3 20
10.9%
2 19
10.4%
5 17
9.3%
8 17
9.3%
7 13
 
7.1%
6 12
 
6.6%
4 10
 
5.5%
9 8
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 1864
20.0%
l 1864
20.0%
o 932
10.0%
t 932
10.0%
v 932
10.0%
i 932
10.0%
b 932
10.0%
e 932
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 932
50.0%
A 932
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11184
90.9%
Common 1123
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
932
83.0%
1 34
 
3.0%
0 33
 
2.9%
3 20
 
1.8%
2 19
 
1.7%
5 17
 
1.5%
8 17
 
1.5%
7 13
 
1.2%
6 12
 
1.1%
4 10
 
0.9%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1864
16.7%
l 1864
16.7%
N 932
8.3%
o 932
8.3%
t 932
8.3%
A 932
8.3%
v 932
8.3%
i 932
8.3%
b 932
8.3%
e 932
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1864
15.1%
l 1864
15.1%
N 932
7.6%
o 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
Other values (12) 1123
9.1%
Distinct46
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:51:37.211282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.306
Min length1

Characters and Unicode

Total characters12306
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row600
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
48.2%
available 932
48.2%
10 7
 
0.4%
15 4
 
0.2%
20 4
 
0.2%
30 4
 
0.2%
12 4
 
0.2%
18 2
 
0.1%
37 2
 
0.1%
2392 2
 
0.1%
Other values (37) 39
 
2.0%
2023-12-09T20:51:37.577557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1864
15.1%
l 1864
15.1%
N 932
7.6%
o 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
Other values (12) 1122
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
75.7%
Uppercase Letter 1864
 
15.1%
Space Separator 932
 
7.6%
Decimal Number 181
 
1.5%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
18.2%
0 30
16.6%
2 26
14.4%
3 20
11.0%
7 15
8.3%
5 12
 
6.6%
4 12
 
6.6%
6 12
 
6.6%
8 11
 
6.1%
9 10
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1864
20.0%
l 1864
20.0%
o 932
10.0%
t 932
10.0%
v 932
10.0%
i 932
10.0%
b 932
10.0%
e 932
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 932
50.0%
A 932
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11184
90.9%
Common 1122
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
932
83.1%
1 33
 
2.9%
0 30
 
2.7%
2 26
 
2.3%
3 20
 
1.8%
7 15
 
1.3%
5 12
 
1.1%
4 12
 
1.1%
6 12
 
1.1%
8 11
 
1.0%
Other values (2) 19
 
1.7%
Latin
ValueCountFrequency (%)
a 1864
16.7%
l 1864
16.7%
N 932
8.3%
o 932
8.3%
t 932
8.3%
A 932
8.3%
v 932
8.3%
i 932
8.3%
b 932
8.3%
e 932
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1864
15.1%
l 1864
15.1%
N 932
7.6%
o 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
Other values (12) 1122
9.1%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:51:37.788816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.277
Min length2

Characters and Unicode

Total characters12277
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row84
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 932
48.2%
available 932
48.2%
65 11
 
0.6%
55 9
 
0.5%
60 8
 
0.4%
50 7
 
0.4%
45 4
 
0.2%
40 3
 
0.2%
70 3
 
0.2%
75 2
 
0.1%
Other values (18) 21
 
1.1%
2023-12-09T20:51:38.121920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1864
15.2%
l 1864
15.2%
N 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
e 932
7.6%
Other values (12) 1093
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
75.9%
Uppercase Letter 1864
 
15.2%
Space Separator 932
 
7.6%
Decimal Number 152
 
1.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 54
35.5%
6 26
17.1%
0 25
16.4%
4 12
 
7.9%
7 12
 
7.9%
8 7
 
4.6%
3 7
 
4.6%
9 4
 
2.6%
2 3
 
2.0%
1 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1864
20.0%
l 1864
20.0%
t 932
10.0%
v 932
10.0%
i 932
10.0%
b 932
10.0%
e 932
10.0%
o 932
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 932
50.0%
A 932
50.0%
Space Separator
ValueCountFrequency (%)
932
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11184
91.1%
Common 1093
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
932
85.3%
5 54
 
4.9%
6 26
 
2.4%
0 25
 
2.3%
4 12
 
1.1%
7 12
 
1.1%
. 9
 
0.8%
8 7
 
0.6%
3 7
 
0.6%
9 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1864
16.7%
l 1864
16.7%
N 932
8.3%
t 932
8.3%
A 932
8.3%
v 932
8.3%
i 932
8.3%
b 932
8.3%
e 932
8.3%
o 932
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1864
15.2%
l 1864
15.2%
N 932
7.6%
t 932
7.6%
932
7.6%
A 932
7.6%
v 932
7.6%
i 932
7.6%
b 932
7.6%
e 932
7.6%
Other values (12) 1093
8.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:38.297832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
17500 1
 
0.1%
2023-12-09T20:51:38.592670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 1
20.0%
7 1
20.0%
5 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
0 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:38.766496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.956
Min length4

Characters and Unicode

Total characters12956
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2200 2
 
0.1%
1300 1
 
0.1%
1600 1
 
0.1%
10424 1
 
0.1%
2023-12-09T20:51:39.070508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1990
15.4%
a 1990
15.4%
e 995
7.7%
b 995
7.7%
o 995
7.7%
i 995
7.7%
N 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (7) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1990
20.0%
a 1990
20.0%
e 995
10.0%
b 995
10.0%
o 995
10.0%
i 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
42.9%
2 5
23.8%
1 3
 
14.3%
4 2
 
9.5%
3 1
 
4.8%
6 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1990
16.7%
a 1990
16.7%
e 995
8.3%
b 995
8.3%
o 995
8.3%
i 995
8.3%
N 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.9%
0 9
 
0.9%
2 5
 
0.5%
1 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1990
15.4%
a 1990
15.4%
e 995
7.7%
b 995
7.7%
o 995
7.7%
i 995
7.7%
N 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (7) 1016
7.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:39.263745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.939
Min length4

Characters and Unicode

Total characters12939
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
1510 1
 
0.1%
13528 1
 
0.1%
16244 1
 
0.1%
4400 1
 
0.1%
2700 1
 
0.1%
7350 1
 
0.1%
1440 1
 
0.1%
2023-12-09T20:51:39.587033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1023
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 30
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
23.3%
4 6
20.0%
1 5
16.7%
5 3
10.0%
2 3
10.0%
3 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1023
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
97.1%
0 7
 
0.7%
4 6
 
0.6%
1 5
 
0.5%
5 3
 
0.3%
2 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1023
7.9%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:39.781770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.884
Min length2

Characters and Unicode

Total characters12884
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
342.19 1
 
0.1%
2412.75 1
 
0.1%
2239.53 1
 
0.1%
7599.4 1
 
0.1%
2950 1
 
0.1%
8224 1
 
0.1%
13 1
 
0.1%
450 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:40.099085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1052
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.5%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 60
 
0.5%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 9
15.0%
2 9
15.0%
5 9
15.0%
0 8
13.3%
3 6
10.0%
4 6
10.0%
1 5
8.3%
7 4
6.7%
8 2
 
3.3%
6 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.8%
Common 1052
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
986
93.7%
9 9
 
0.9%
2 9
 
0.9%
5 9
 
0.9%
0 8
 
0.8%
3 6
 
0.6%
. 6
 
0.6%
4 6
 
0.6%
1 5
 
0.5%
7 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1052
8.2%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:40.286349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length3

Characters and Unicode

Total characters12888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
2.6 7
 
0.4%
2.66772 1
 
0.1%
3.43356 1
 
0.1%
2.61963 1
 
0.1%
2.55711 1
 
0.1%
6.01317 1
 
0.1%
3.18666 1
 
0.1%
2.11458 1
 
0.1%
2023-12-09T20:51:40.580248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1056
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.5%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 56
 
0.4%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 16
28.6%
2 12
21.4%
1 8
14.3%
3 6
 
10.7%
7 4
 
7.1%
5 4
 
7.1%
4 2
 
3.6%
8 2
 
3.6%
9 1
 
1.8%
0 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.8%
Common 1056
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
986
93.4%
6 16
 
1.5%
. 14
 
1.3%
2 12
 
1.1%
1 8
 
0.8%
3 6
 
0.6%
7 4
 
0.4%
5 4
 
0.4%
4 2
 
0.2%
8 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1056
8.2%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:40.781611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length4

Characters and Unicode

Total characters12904
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
927982 1
 
0.1%
3889181 1
 
0.1%
299881 1
 
0.1%
861357 1
 
0.1%
131151 1
 
0.1%
259635 1
 
0.1%
131610 1
 
0.1%
338424 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:41.101479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
b 986
7.6%
i 986
7.6%
e 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (11) 1072
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 86
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
20.9%
8 11
12.8%
2 10
11.6%
7 9
10.5%
3 9
10.5%
9 8
9.3%
5 6
 
7.0%
0 6
 
7.0%
4 5
 
5.8%
6 4
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
b 986
10.0%
i 986
10.0%
e 986
10.0%
v 986
10.0%
t 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.7%
Common 1072
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
986
92.0%
1 18
 
1.7%
8 11
 
1.0%
2 10
 
0.9%
7 9
 
0.8%
3 9
 
0.8%
9 8
 
0.7%
5 6
 
0.6%
0 6
 
0.6%
4 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
b 986
8.3%
i 986
8.3%
e 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
b 986
7.6%
i 986
7.6%
e 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (11) 1072
8.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:41.278168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.912
Min length2

Characters and Unicode

Total characters12912
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.4%
available 986
49.4%
100 11
 
0.6%
yes 11
 
0.6%
no 3
 
0.2%
2023-12-09T20:51:41.566303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
997
7.7%
e 997
7.7%
N 989
7.7%
o 989
7.7%
t 986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
Other values (6) 1052
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9885
76.6%
Uppercase Letter 1986
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 33
 
0.3%
Other Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
19.9%
l 1972
19.9%
e 997
10.1%
o 989
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
s 11
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 989
49.8%
A 986
49.6%
Y 11
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 22
66.7%
1 11
33.3%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
% 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11871
91.9%
Common 1041
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.6%
l 1972
16.6%
e 997
8.4%
N 989
8.3%
o 989
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
Other values (2) 22
 
0.2%
Common
ValueCountFrequency (%)
997
95.8%
0 22
 
2.1%
1 11
 
1.1%
% 11
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
997
7.7%
e 997
7.7%
N 989
7.7%
o 989
7.7%
t 986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
Other values (6) 1052
8.1%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:41.767153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.885
Min length3

Characters and Unicode

Total characters12885
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
179.1 1
 
0.1%
407.4 1
 
0.1%
1069 1
 
0.1%
90.5 1
 
0.1%
782.9 1
 
0.1%
594.3 1
 
0.1%
197.6 1
 
0.1%
640.3 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:42.089011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1053
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.5%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 54
 
0.4%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
14.8%
9 8
14.8%
5 6
11.1%
6 6
11.1%
1 6
11.1%
4 4
7.4%
7 4
7.4%
8 4
7.4%
2 4
7.4%
3 4
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.8%
Common 1053
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
986
93.6%
. 13
 
1.2%
0 8
 
0.8%
9 8
 
0.8%
5 6
 
0.6%
6 6
 
0.6%
1 6
 
0.6%
4 4
 
0.4%
7 4
 
0.4%
8 4
 
0.4%
Other values (2) 8
 
0.8%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1053
8.2%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:42.288134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.909
Min length3

Characters and Unicode

Total characters12909
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0.68999 2
 
0.1%
0.69 1
 
0.1%
0.47986 1
 
0.1%
0.7 1
 
0.1%
0.68984 1
 
0.1%
0.58388 1
 
0.1%
0.68994 1
 
0.1%
0.69004 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:51:42.606442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1077
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 77
 
0.6%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
26.0%
9 19
24.7%
6 13
16.9%
8 13
16.9%
4 4
 
5.2%
7 3
 
3.9%
1 2
 
2.6%
5 1
 
1.3%
3 1
 
1.3%
2 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.7%
Common 1077
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
986
91.6%
0 20
 
1.9%
9 19
 
1.8%
. 14
 
1.3%
6 13
 
1.2%
8 13
 
1.2%
4 4
 
0.4%
7 3
 
0.3%
1 2
 
0.2%
5 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1077
8.3%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:42.790160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.839
Min length1

Characters and Unicode

Total characters12839
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
8 3
 
0.2%
15 3
 
0.2%
20 3
 
0.2%
5 2
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
2023-12-09T20:51:43.086738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 986
7.7%
e 986
7.7%
o 986
7.7%
i 986
7.7%
b 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (8) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.8%
Uppercase Letter 1972
 
15.4%
Space Separator 986
 
7.7%
Decimal Number 21
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
e 986
10.0%
o 986
10.0%
i 986
10.0%
b 986
10.0%
v 986
10.0%
t 986
10.0%
Decimal Number
ValueCountFrequency (%)
5 5
23.8%
1 4
19.0%
0 4
19.0%
8 3
14.3%
2 3
14.3%
6 1
 
4.8%
3 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
e 986
8.3%
o 986
8.3%
i 986
8.3%
b 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%
Common
ValueCountFrequency (%)
986
97.9%
5 5
 
0.5%
1 4
 
0.4%
0 4
 
0.4%
8 3
 
0.3%
2 3
 
0.3%
6 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 986
7.7%
e 986
7.7%
o 986
7.7%
i 986
7.7%
b 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (8) 1007
7.8%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:43.279410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.899
Min length1

Characters and Unicode

Total characters12899
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0 2
 
0.1%
0.0014 1
 
0.1%
0.00157 1
 
0.1%
0.00295 1
 
0.1%
0.00385 1
 
0.1%
0.00108 1
 
0.1%
0.00045 1
 
0.1%
0.00088 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:51:43.593190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1067
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 69
 
0.5%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
56.5%
1 6
 
8.7%
5 4
 
5.8%
2 4
 
5.8%
3 4
 
5.8%
8 4
 
5.8%
4 2
 
2.9%
7 2
 
2.9%
9 2
 
2.9%
6 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.7%
Common 1067
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
986
92.4%
0 39
 
3.7%
. 12
 
1.1%
1 6
 
0.6%
5 4
 
0.4%
2 4
 
0.4%
3 4
 
0.4%
8 4
 
0.4%
4 2
 
0.2%
7 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
o 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
Other values (12) 1067
8.3%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:43.772782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.838
Min length1

Characters and Unicode

Total characters12838
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
1 8
 
0.4%
0 2
 
0.1%
4.67 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%
0.42 1
 
0.1%
2023-12-09T20:51:44.081214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 986
7.7%
e 986
7.7%
o 986
7.7%
i 986
7.7%
b 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (9) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.8%
Uppercase Letter 1972
 
15.4%
Space Separator 986
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
e 986
10.0%
o 986
10.0%
i 986
10.0%
b 986
10.0%
v 986
10.0%
t 986
10.0%
Decimal Number
ValueCountFrequency (%)
1 8
44.4%
0 3
 
16.7%
4 2
 
11.1%
2 2
 
11.1%
6 1
 
5.6%
7 1
 
5.6%
9 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
e 986
8.3%
o 986
8.3%
i 986
8.3%
b 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%
Common
ValueCountFrequency (%)
986
98.0%
1 8
 
0.8%
0 3
 
0.3%
4 2
 
0.2%
. 2
 
0.2%
2 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 986
7.7%
e 986
7.7%
o 986
7.7%
i 986
7.7%
b 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (9) 1006
7.8%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:44.285175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.856
Min length1

Characters and Unicode

Total characters12856
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
153 1
 
0.1%
215 1
 
0.1%
667 1
 
0.1%
568 1
 
0.1%
997 1
 
0.1%
70 1
 
0.1%
2 1
 
0.1%
439 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:44.624251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
b 986
7.7%
i 986
7.7%
e 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (11) 1024
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.7%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 38
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 5
13.2%
0 5
13.2%
5 4
10.5%
3 4
10.5%
7 4
10.5%
8 4
10.5%
9 4
10.5%
2 3
7.9%
4 3
7.9%
1 2
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
b 986
10.0%
i 986
10.0%
e 986
10.0%
v 986
10.0%
t 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.0%
Common 1024
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
986
96.3%
6 5
 
0.5%
0 5
 
0.5%
5 4
 
0.4%
3 4
 
0.4%
7 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
2 3
 
0.3%
4 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
b 986
8.3%
i 986
8.3%
e 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
b 986
7.7%
i 986
7.7%
e 986
7.7%
v 986
7.7%
A 986
7.7%
986
7.7%
Other values (11) 1024
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:44.803411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.858
Min length2

Characters and Unicode

Total characters12858
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
no 12
 
0.6%
100 2
 
0.1%
yes 2
 
0.1%
2023-12-09T20:51:45.099061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 998
7.8%
o 998
7.8%
988
7.7%
e 988
7.7%
t 986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
Other values (6) 998
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9876
76.8%
Uppercase Letter 1986
 
15.4%
Space Separator 988
 
7.7%
Decimal Number 6
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 998
10.1%
e 988
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
s 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.3%
A 986
49.6%
Y 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
% 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11862
92.3%
Common 996
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.6%
l 1972
16.6%
N 998
8.4%
o 998
8.4%
e 988
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
Other values (2) 4
 
< 0.1%
Common
ValueCountFrequency (%)
988
99.2%
0 4
 
0.4%
1 2
 
0.2%
% 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 998
7.8%
o 998
7.8%
988
7.7%
e 988
7.7%
t 986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
Other values (6) 998
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:45.271366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.961
Min length10

Characters and Unicode

Total characters12961
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.4%
available 987
49.4%
non 13
 
0.7%
profit 13
 
0.7%
2023-12-09T20:51:45.584165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.2%
l 1974
15.2%
o 1013
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 987
7.6%
v 987
7.6%
b 987
7.6%
Other values (5) 1039
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9961
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
19.8%
l 1974
19.8%
o 1013
10.2%
t 1000
10.0%
i 1000
10.0%
v 987
9.9%
b 987
9.9%
e 987
9.9%
n 13
 
0.1%
r 13
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 987
49.4%
P 13
 
0.7%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11961
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.5%
l 1974
16.5%
o 1013
8.5%
N 1000
8.4%
t 1000
8.4%
i 1000
8.4%
A 987
8.3%
v 987
8.3%
b 987
8.3%
e 987
8.3%
Other values (4) 52
 
0.4%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.2%
l 1974
15.2%
o 1013
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 987
7.6%
v 987
7.6%
b 987
7.6%
Other values (5) 1039
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:45.751009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.86
Min length3

Characters and Unicode

Total characters12860
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
100 14
 
0.7%
2023-12-09T20:51:46.027525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (3) 1028
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.7%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 42
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Decimal Number
ValueCountFrequency (%)
0 28
66.7%
1 14
33.3%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.0%
Common 1028
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
Common
ValueCountFrequency (%)
986
95.9%
0 28
 
2.7%
1 14
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (3) 1028
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:51:46.198423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.86
Min length3

Characters and Unicode

Total characters12860
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
100 14
 
0.7%
2023-12-09T20:51:46.489319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (3) 1028
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.7%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 42
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 986
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Decimal Number
ValueCountFrequency (%)
0 28
66.7%
1 14
33.3%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
92.0%
Common 1028
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
o 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
Common
ValueCountFrequency (%)
986
95.9%
0 28
 
2.7%
1 14
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
o 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Other values (3) 1028
8.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:46.691394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length3

Characters and Unicode

Total characters12910
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0.96338 1
 
0.1%
0.68694 1
 
0.1%
1.63933 1
 
0.1%
0.25635 1
 
0.1%
0.65942 1
 
0.1%
0.53187 1
 
0.1%
0.4521 1
 
0.1%
0.7436 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:51:47.012307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1078
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.4%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 78
 
0.6%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
16.7%
6 10
12.8%
3 10
12.8%
1 8
10.3%
5 8
10.3%
4 7
9.0%
9 6
7.7%
8 6
7.7%
2 6
7.7%
7 4
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.6%
Common 1078
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
986
91.5%
. 14
 
1.3%
0 13
 
1.2%
6 10
 
0.9%
3 10
 
0.9%
1 8
 
0.7%
5 8
 
0.7%
4 7
 
0.6%
9 6
 
0.6%
8 6
 
0.6%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1078
8.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:47.193825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.924
Min length2

Characters and Unicode

Total characters12924
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.3%
available 986
49.3%
100 13
 
0.7%
yes 13
 
0.7%
no 1
 
0.1%
2023-12-09T20:51:47.483146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
999
7.7%
e 999
7.7%
N 987
7.6%
o 987
7.6%
t 986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
Other values (6) 1064
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9887
76.5%
Uppercase Letter 1986
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 39
 
0.3%
Other Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
19.9%
l 1972
19.9%
e 999
10.1%
o 987
10.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
s 13
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 987
49.7%
A 986
49.6%
Y 13
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 26
66.7%
1 13
33.3%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
% 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11873
91.9%
Common 1051
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.6%
l 1972
16.6%
e 999
8.4%
N 987
8.3%
o 987
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
Other values (2) 26
 
0.2%
Common
ValueCountFrequency (%)
999
95.1%
0 26
 
2.5%
1 13
 
1.2%
% 13
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
999
7.7%
e 999
7.7%
N 987
7.6%
o 987
7.6%
t 986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
Other values (6) 1064
8.2%
Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:51:48.593805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.618
Min length1

Characters and Unicode

Total characters12618
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
5000 4
 
0.2%
0 2
 
0.1%
1000 1
 
0.1%
2880 1
 
0.1%
10000 1
 
0.1%
93725 1
 
0.1%
45 1
 
0.1%
2250 1
 
0.1%
Other values (32) 32
 
1.6%
2023-12-09T20:51:48.980446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
b 956
7.6%
i 956
7.6%
e 956
7.6%
v 956
7.6%
A 956
7.6%
956
7.6%
Other values (11) 1146
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
75.8%
Uppercase Letter 1912
 
15.2%
Space Separator 956
 
7.6%
Decimal Number 190
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
32.6%
5 22
 
11.6%
1 21
 
11.1%
7 19
 
10.0%
4 15
 
7.9%
6 14
 
7.4%
8 11
 
5.8%
2 10
 
5.3%
9 8
 
4.2%
3 8
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
o 956
10.0%
b 956
10.0%
i 956
10.0%
e 956
10.0%
v 956
10.0%
t 956
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
90.9%
Common 1146
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
956
83.4%
0 62
 
5.4%
5 22
 
1.9%
1 21
 
1.8%
7 19
 
1.7%
4 15
 
1.3%
6 14
 
1.2%
8 11
 
1.0%
2 10
 
0.9%
9 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
o 956
8.3%
b 956
8.3%
i 956
8.3%
e 956
8.3%
v 956
8.3%
A 956
8.3%
t 956
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
b 956
7.6%
i 956
7.6%
e 956
7.6%
v 956
7.6%
A 956
7.6%
956
7.6%
Other values (11) 1146
9.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:49.173217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.934
Min length1

Characters and Unicode

Total characters12934
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 4
 
0.2%
0.27453 1
 
0.1%
0.05547 1
 
0.1%
0.00851 1
 
0.1%
2023-12-09T20:51:49.482645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1018
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.8%
Uppercase Letter 1986
 
15.4%
Space Separator 993
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Decimal Number
ValueCountFrequency (%)
0 10
45.5%
5 4
 
18.2%
7 2
 
9.1%
4 2
 
9.1%
2 1
 
4.5%
3 1
 
4.5%
8 1
 
4.5%
1 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1018
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
97.5%
0 10
 
1.0%
5 4
 
0.4%
. 3
 
0.3%
7 2
 
0.2%
4 2
 
0.2%
2 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1018
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:49.661517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.917
Min length1

Characters and Unicode

Total characters12917
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 4
 
0.2%
30 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
2023-12-09T20:51:49.971734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (5) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.9%
Uppercase Letter 1986
 
15.4%
Space Separator 993
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
t 993
10.0%
v 993
10.0%
i 993
10.0%
b 993
10.0%
e 993
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
62.5%
3 1
 
12.5%
1 1
 
12.5%
6 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
t 993
8.3%
A 993
8.3%
v 993
8.3%
i 993
8.3%
b 993
8.3%
e 993
8.3%
Common
ValueCountFrequency (%)
993
99.2%
0 5
 
0.5%
3 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (5) 1001
7.7%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:50.201795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.526
Min length1

Characters and Unicode

Total characters12526
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
5 3
 
0.2%
13 3
 
0.2%
11 2
 
0.1%
300 2
 
0.1%
22 2
 
0.1%
9 2
 
0.1%
4 2
 
0.1%
2 2
 
0.1%
Other values (25) 26
 
1.3%
2023-12-09T20:51:50.562213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.3%
l 1912
15.3%
N 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
e 956
7.6%
Other values (12) 1054
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
76.3%
Uppercase Letter 1912
 
15.3%
Space Separator 956
 
7.6%
Decimal Number 93
 
0.7%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
19.4%
2 12
12.9%
5 12
12.9%
0 11
11.8%
3 11
11.8%
4 10
10.8%
9 7
 
7.5%
7 6
 
6.5%
6 4
 
4.3%
8 2
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
o 956
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
91.6%
Common 1054
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
956
90.7%
1 18
 
1.7%
2 12
 
1.1%
5 12
 
1.1%
0 11
 
1.0%
3 11
 
1.0%
4 10
 
0.9%
9 7
 
0.7%
7 6
 
0.6%
. 5
 
0.5%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%
o 956
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.3%
l 1912
15.3%
N 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
e 956
7.6%
Other values (12) 1054
8.4%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:50.743855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.551
Min length1

Characters and Unicode

Total characters12551
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
100 37
 
1.9%
90 3
 
0.2%
0 2
 
0.1%
10 1
 
0.1%
60 1
 
0.1%
2023-12-09T20:51:51.052311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
Other values (5) 1079
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
76.2%
Uppercase Letter 1912
 
15.2%
Space Separator 956
 
7.6%
Decimal Number 123
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
o 956
10.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
Decimal Number
ValueCountFrequency (%)
0 81
65.9%
1 38
30.9%
9 3
 
2.4%
6 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
91.4%
Common 1079
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
o 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%
Common
ValueCountFrequency (%)
956
88.6%
0 81
 
7.5%
1 38
 
3.5%
9 3
 
0.3%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
Other values (5) 1079
8.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:51.234609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.551
Min length1

Characters and Unicode

Total characters12551
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
100 37
 
1.9%
90 4
 
0.2%
0 2
 
0.1%
30 1
 
0.1%
2023-12-09T20:51:51.523443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
Other values (5) 1079
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
76.2%
Uppercase Letter 1912
 
15.2%
Space Separator 956
 
7.6%
Decimal Number 123
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
o 956
10.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
Decimal Number
ValueCountFrequency (%)
0 81
65.9%
1 37
30.1%
9 4
 
3.3%
3 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
91.4%
Common 1079
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
o 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%
Common
ValueCountFrequency (%)
956
88.6%
0 81
 
7.5%
1 37
 
3.4%
9 4
 
0.4%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.2%
l 1912
15.2%
N 956
7.6%
o 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
Other values (5) 1079
8.6%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:51:51.733038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.526
Min length1

Characters and Unicode

Total characters12526
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
65 13
 
0.7%
40 7
 
0.4%
50 2
 
0.1%
55 2
 
0.1%
0 2
 
0.1%
60 2
 
0.1%
52 1
 
0.1%
120 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:51:52.048344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.3%
l 1912
15.3%
N 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
e 956
7.6%
Other values (12) 1054
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
76.3%
Uppercase Letter 1912
 
15.3%
Space Separator 956
 
7.6%
Decimal Number 95
 
0.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 25
26.3%
6 21
22.1%
0 16
16.8%
4 12
12.6%
1 6
 
6.3%
8 5
 
5.3%
2 5
 
5.3%
7 3
 
3.2%
9 1
 
1.1%
3 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
o 956
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
91.6%
Common 1054
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
956
90.7%
5 25
 
2.4%
6 21
 
2.0%
0 16
 
1.5%
4 12
 
1.1%
1 6
 
0.6%
8 5
 
0.5%
2 5
 
0.5%
. 3
 
0.3%
7 3
 
0.3%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%
o 956
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.3%
l 1912
15.3%
N 956
7.6%
t 956
7.6%
956
7.6%
A 956
7.6%
v 956
7.6%
i 956
7.6%
b 956
7.6%
e 956
7.6%
Other values (12) 1054
8.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:52.216682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
102571 1
 
0.1%
2023-12-09T20:51:52.506776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 1
16.7%
2 1
16.7%
5 1
16.7%
7 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
1 2
 
0.2%
0 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:52.679924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.957
Min length3

Characters and Unicode

Total characters12957
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
18268 1
 
0.1%
105518 1
 
0.1%
770 1
 
0.1%
1440 1
 
0.1%
1661 1
 
0.1%
2023-12-09T20:51:52.968940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 22
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
27.3%
8 3
13.6%
6 3
13.6%
0 3
13.6%
5 2
 
9.1%
7 2
 
9.1%
4 2
 
9.1%
2 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1017
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.8%
1 6
 
0.6%
8 3
 
0.3%
6 3
 
0.3%
0 3
 
0.3%
5 2
 
0.2%
7 2
 
0.2%
4 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (9) 1017
7.8%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:53.164697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.899
Min length4

Characters and Unicode

Total characters12899
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
52342 1
 
0.1%
10000 1
 
0.1%
110000 1
 
0.1%
90000 1
 
0.1%
109000 1
 
0.1%
85000 1
 
0.1%
265000 1
 
0.1%
71626 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:51:53.483162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
b 987
7.7%
i 987
7.7%
e 987
7.7%
v 987
7.7%
A 987
7.7%
987
7.7%
Other values (11) 1055
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 68
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
45.6%
1 8
 
11.8%
2 5
 
7.4%
6 5
 
7.4%
7 5
 
7.4%
3 4
 
5.9%
5 3
 
4.4%
8 3
 
4.4%
4 2
 
2.9%
9 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
b 987
10.0%
i 987
10.0%
e 987
10.0%
v 987
10.0%
t 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.8%
Common 1055
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
93.6%
0 31
 
2.9%
1 8
 
0.8%
2 5
 
0.5%
6 5
 
0.5%
7 5
 
0.5%
3 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
4 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
b 987
8.3%
i 987
8.3%
e 987
8.3%
v 987
8.3%
A 987
8.3%
t 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
b 987
7.7%
i 987
7.7%
e 987
7.7%
v 987
7.7%
A 987
7.7%
987
7.7%
Other values (11) 1055
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:53.652486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:53.927465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:51:54.108373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.958
Min length4

Characters and Unicode

Total characters12958
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
245000 1
 
0.1%
7750 1
 
0.1%
2130 1
 
0.1%
42400 1
 
0.1%
2135 1
 
0.1%
2023-12-09T20:51:54.415446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1018
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 23
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 7
30.4%
2 4
17.4%
4 3
13.0%
5 3
13.0%
7 2
 
8.7%
1 2
 
8.7%
3 2
 
8.7%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1018
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.7%
0 7
 
0.7%
2 4
 
0.4%
4 3
 
0.3%
5 3
 
0.3%
7 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1018
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:54.582757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
178400 1
 
0.1%
2023-12-09T20:51:54.886842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
1 1
16.7%
7 1
16.7%
8 1
16.7%
4 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
0 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:55.061131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:55.349134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:51:55.516553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:51:55.788712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:51:55.957136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.381
Min length2

Characters and Unicode

Total characters9381
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 659
39.2%
available 659
39.2%
no 319
19.0%
100 22
 
1.3%
yes 22
 
1.3%
2023-12-09T20:51:56.245232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1318
14.0%
l 1318
14.0%
N 978
10.4%
o 978
10.4%
681
7.3%
e 681
7.3%
t 659
7.0%
A 659
7.0%
v 659
7.0%
i 659
7.0%
Other values (6) 791
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6953
74.1%
Uppercase Letter 1659
 
17.7%
Space Separator 681
 
7.3%
Decimal Number 66
 
0.7%
Other Punctuation 22
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1318
19.0%
l 1318
19.0%
o 978
14.1%
e 681
9.8%
t 659
9.5%
v 659
9.5%
i 659
9.5%
b 659
9.5%
s 22
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 978
59.0%
A 659
39.7%
Y 22
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 44
66.7%
1 22
33.3%
Space Separator
ValueCountFrequency (%)
681
100.0%
Other Punctuation
ValueCountFrequency (%)
% 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8612
91.8%
Common 769
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1318
15.3%
l 1318
15.3%
N 978
11.4%
o 978
11.4%
e 681
7.9%
t 659
7.7%
A 659
7.7%
v 659
7.7%
i 659
7.7%
b 659
7.7%
Other values (2) 44
 
0.5%
Common
ValueCountFrequency (%)
681
88.6%
0 44
 
5.7%
1 22
 
2.9%
% 22
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1318
14.0%
l 1318
14.0%
N 978
10.4%
o 978
10.4%
681
7.3%
e 681
7.3%
t 659
7.0%
A 659
7.0%
v 659
7.0%
i 659
7.0%
Other values (6) 791
8.4%
Distinct440
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:51:56.742948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length9.074
Min length4

Characters and Unicode

Total characters9074
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)41.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
10875 16
 
1.1%
12150 12
 
0.8%
22033 9
 
0.6%
13800 9
 
0.6%
14900 5
 
0.3%
27600 5
 
0.3%
39667 4
 
0.3%
117590 3
 
0.2%
Other values (431) 456
30.8%
2023-12-09T20:51:57.378173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 962
 
10.6%
a 962
 
10.6%
0 526
 
5.8%
N 481
 
5.3%
i 481
 
5.3%
o 481
 
5.3%
b 481
 
5.3%
e 481
 
5.3%
v 481
 
5.3%
A 481
 
5.3%
Other values (11) 3257
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
53.0%
Decimal Number 2821
31.1%
Uppercase Letter 962
 
10.6%
Space Separator 481
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 526
18.6%
1 370
13.1%
5 270
9.6%
7 253
9.0%
2 250
8.9%
6 247
8.8%
8 243
8.6%
4 239
8.5%
9 212
7.5%
3 211
7.5%
Lowercase Letter
ValueCountFrequency (%)
l 962
20.0%
a 962
20.0%
i 481
10.0%
o 481
10.0%
b 481
10.0%
e 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
63.6%
Common 3302
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 526
15.9%
481
14.6%
1 370
11.2%
5 270
8.2%
7 253
7.7%
2 250
7.6%
6 247
7.5%
8 243
7.4%
4 239
7.2%
9 212
6.4%
Latin
ValueCountFrequency (%)
l 962
16.7%
a 962
16.7%
N 481
8.3%
i 481
8.3%
o 481
8.3%
b 481
8.3%
e 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9074
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 962
 
10.6%
a 962
 
10.6%
0 526
 
5.8%
N 481
 
5.3%
i 481
 
5.3%
o 481
 
5.3%
b 481
 
5.3%
e 481
 
5.3%
v 481
 
5.3%
A 481
 
5.3%
Other values (11) 3257
35.9%
Distinct281
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T20:51:57.873390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length7.77
Min length1

Characters and Unicode

Total characters7770
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)17.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
24 16
 
1.1%
26 13
 
0.9%
200 11
 
0.7%
40 10
 
0.7%
60 9
 
0.6%
80 9
 
0.6%
170 8
 
0.5%
50 7
 
0.5%
Other values (272) 436
29.4%
2023-12-09T20:51:58.486831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 962
12.4%
l 962
12.4%
N 481
 
6.2%
t 481
 
6.2%
481
 
6.2%
A 481
 
6.2%
v 481
 
6.2%
i 481
 
6.2%
b 481
 
6.2%
e 481
 
6.2%
Other values (12) 1998
25.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
61.9%
Decimal Number 1461
 
18.8%
Uppercase Letter 962
 
12.4%
Space Separator 481
 
6.2%
Other Punctuation 56
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 284
19.4%
0 199
13.6%
2 198
13.6%
4 135
9.2%
8 133
9.1%
6 119
8.1%
7 111
 
7.6%
9 96
 
6.6%
5 95
 
6.5%
3 91
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 962
20.0%
l 962
20.0%
t 481
10.0%
v 481
10.0%
i 481
10.0%
b 481
10.0%
e 481
10.0%
o 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Other Punctuation
ValueCountFrequency (%)
. 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
74.3%
Common 1998
 
25.7%

Most frequent character per script

Common
ValueCountFrequency (%)
481
24.1%
1 284
14.2%
0 199
10.0%
2 198
9.9%
4 135
 
6.8%
8 133
 
6.7%
6 119
 
6.0%
7 111
 
5.6%
9 96
 
4.8%
5 95
 
4.8%
Other values (2) 147
 
7.4%
Latin
ValueCountFrequency (%)
a 962
16.7%
l 962
16.7%
N 481
8.3%
t 481
8.3%
A 481
8.3%
v 481
8.3%
i 481
8.3%
b 481
8.3%
e 481
8.3%
o 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 962
12.4%
l 962
12.4%
N 481
 
6.2%
t 481
 
6.2%
481
 
6.2%
A 481
 
6.2%
v 481
 
6.2%
i 481
 
6.2%
b 481
 
6.2%
e 481
 
6.2%
Other values (12) 1998
25.7%
Distinct92
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:51:58.801479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.049
Min length1

Characters and Unicode

Total characters9049
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)5.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 656
39.6%
available 656
39.6%
0 181
 
10.9%
10 8
 
0.5%
20 7
 
0.4%
4 7
 
0.4%
24 6
 
0.4%
6 5
 
0.3%
33 4
 
0.2%
30 4
 
0.2%
Other values (83) 122
 
7.4%
2023-12-09T20:51:59.226829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1312
14.5%
l 1312
14.5%
N 656
7.2%
o 656
7.2%
b 656
7.2%
i 656
7.2%
e 656
7.2%
v 656
7.2%
A 656
7.2%
656
7.2%
Other values (11) 1177
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6560
72.5%
Uppercase Letter 1312
 
14.5%
Space Separator 656
 
7.2%
Decimal Number 521
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
42.8%
1 58
 
11.1%
2 54
 
10.4%
4 48
 
9.2%
3 32
 
6.1%
6 30
 
5.8%
8 29
 
5.6%
5 22
 
4.2%
7 13
 
2.5%
9 12
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1312
20.0%
l 1312
20.0%
o 656
10.0%
b 656
10.0%
i 656
10.0%
e 656
10.0%
v 656
10.0%
t 656
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 656
50.0%
A 656
50.0%
Space Separator
ValueCountFrequency (%)
656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7872
87.0%
Common 1177
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
656
55.7%
0 223
 
18.9%
1 58
 
4.9%
2 54
 
4.6%
4 48
 
4.1%
3 32
 
2.7%
6 30
 
2.5%
8 29
 
2.5%
5 22
 
1.9%
7 13
 
1.1%
Latin
ValueCountFrequency (%)
a 1312
16.7%
l 1312
16.7%
N 656
8.3%
o 656
8.3%
b 656
8.3%
i 656
8.3%
e 656
8.3%
v 656
8.3%
A 656
8.3%
t 656
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1312
14.5%
l 1312
14.5%
N 656
7.2%
o 656
7.2%
b 656
7.2%
i 656
7.2%
e 656
7.2%
v 656
7.2%
A 656
7.2%
656
7.2%
Other values (11) 1177
13.0%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:51:59.458240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.949
Min length1

Characters and Unicode

Total characters8949
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 650
39.4%
available 650
39.4%
0 74
 
4.5%
10 39
 
2.4%
8 23
 
1.4%
6 23
 
1.4%
5 23
 
1.4%
4 22
 
1.3%
12 17
 
1.0%
16 15
 
0.9%
Other values (34) 114
 
6.9%
2023-12-09T20:51:59.811486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1300
14.5%
l 1300
14.5%
N 650
7.3%
o 650
7.3%
b 650
7.3%
i 650
7.3%
e 650
7.3%
v 650
7.3%
A 650
7.3%
650
7.3%
Other values (11) 1149
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6500
72.6%
Uppercase Letter 1300
 
14.5%
Space Separator 650
 
7.3%
Decimal Number 499
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
24.6%
1 122
24.4%
4 45
 
9.0%
6 44
 
8.8%
2 40
 
8.0%
8 34
 
6.8%
5 32
 
6.4%
3 28
 
5.6%
7 18
 
3.6%
9 13
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1300
20.0%
l 1300
20.0%
o 650
10.0%
b 650
10.0%
i 650
10.0%
e 650
10.0%
v 650
10.0%
t 650
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 650
50.0%
A 650
50.0%
Space Separator
ValueCountFrequency (%)
650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7800
87.2%
Common 1149
 
12.8%

Most frequent character per script

Common
ValueCountFrequency (%)
650
56.6%
0 123
 
10.7%
1 122
 
10.6%
4 45
 
3.9%
6 44
 
3.8%
2 40
 
3.5%
8 34
 
3.0%
5 32
 
2.8%
3 28
 
2.4%
7 18
 
1.6%
Latin
ValueCountFrequency (%)
a 1300
16.7%
l 1300
16.7%
N 650
8.3%
o 650
8.3%
b 650
8.3%
i 650
8.3%
e 650
8.3%
v 650
8.3%
A 650
8.3%
t 650
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1300
14.5%
l 1300
14.5%
N 650
7.3%
o 650
7.3%
b 650
7.3%
i 650
7.3%
e 650
7.3%
v 650
7.3%
A 650
7.3%
650
7.3%
Other values (11) 1149
12.8%
Distinct243
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2023-12-09T20:52:00.294831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length7.576
Min length1

Characters and Unicode

Total characters7576
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)13.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
50 16
 
1.1%
14 16
 
1.1%
15 13
 
0.9%
27 10
 
0.7%
35 8
 
0.5%
60 7
 
0.5%
19 7
 
0.5%
87 6
 
0.4%
Other values (234) 436
29.4%
2023-12-09T20:52:00.906584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 962
12.7%
l 962
12.7%
N 481
 
6.3%
t 481
 
6.3%
481
 
6.3%
A 481
 
6.3%
v 481
 
6.3%
i 481
 
6.3%
b 481
 
6.3%
e 481
 
6.3%
Other values (12) 1804
23.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
63.5%
Decimal Number 1289
 
17.0%
Uppercase Letter 962
 
12.7%
Space Separator 481
 
6.3%
Other Punctuation 34
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 231
17.9%
5 159
12.3%
2 141
10.9%
4 126
9.8%
7 126
9.8%
6 116
9.0%
3 106
8.2%
0 98
7.6%
8 95
7.4%
9 91
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 962
20.0%
l 962
20.0%
t 481
10.0%
v 481
10.0%
i 481
10.0%
b 481
10.0%
e 481
10.0%
o 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Other Punctuation
ValueCountFrequency (%)
. 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
76.2%
Common 1804
 
23.8%

Most frequent character per script

Common
ValueCountFrequency (%)
481
26.7%
1 231
12.8%
5 159
 
8.8%
2 141
 
7.8%
4 126
 
7.0%
7 126
 
7.0%
6 116
 
6.4%
3 106
 
5.9%
0 98
 
5.4%
8 95
 
5.3%
Other values (2) 125
 
6.9%
Latin
ValueCountFrequency (%)
a 962
16.7%
l 962
16.7%
N 481
8.3%
t 481
8.3%
A 481
8.3%
v 481
8.3%
i 481
8.3%
b 481
8.3%
e 481
8.3%
o 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 962
12.7%
l 962
12.7%
N 481
 
6.3%
t 481
 
6.3%
481
 
6.3%
A 481
 
6.3%
v 481
 
6.3%
i 481
 
6.3%
b 481
 
6.3%
e 481
 
6.3%
Other values (12) 1804
23.8%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2023-12-09T20:52:01.104699image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.486
Min length1

Characters and Unicode

Total characters8486
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 575
36.5%
available 575
36.5%
100 226
 
14.3%
90 84
 
5.3%
0 65
 
4.1%
80 19
 
1.2%
70 9
 
0.6%
40 6
 
0.4%
50 4
 
0.3%
20 4
 
0.3%
Other values (4) 8
 
0.5%
2023-12-09T20:52:01.411956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1150
13.6%
a 1150
13.6%
0 650
7.7%
N 575
 
6.8%
i 575
 
6.8%
o 575
 
6.8%
b 575
 
6.8%
e 575
 
6.8%
v 575
 
6.8%
A 575
 
6.8%
Other values (11) 1511
17.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5750
67.8%
Uppercase Letter 1150
 
13.6%
Decimal Number 1011
 
11.9%
Space Separator 575
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 650
64.3%
1 229
 
22.7%
9 84
 
8.3%
8 20
 
2.0%
7 9
 
0.9%
4 6
 
0.6%
2 5
 
0.5%
5 4
 
0.4%
3 2
 
0.2%
6 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 1150
20.0%
a 1150
20.0%
i 575
10.0%
o 575
10.0%
b 575
10.0%
e 575
10.0%
v 575
10.0%
t 575
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 575
50.0%
A 575
50.0%
Space Separator
ValueCountFrequency (%)
575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6900
81.3%
Common 1586
 
18.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 650
41.0%
575
36.3%
1 229
 
14.4%
9 84
 
5.3%
8 20
 
1.3%
7 9
 
0.6%
4 6
 
0.4%
2 5
 
0.3%
5 4
 
0.3%
3 2
 
0.1%
Latin
ValueCountFrequency (%)
l 1150
16.7%
a 1150
16.7%
N 575
8.3%
i 575
8.3%
o 575
8.3%
b 575
8.3%
e 575
8.3%
v 575
8.3%
A 575
8.3%
t 575
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1150
13.6%
a 1150
13.6%
0 650
7.7%
N 575
 
6.8%
i 575
 
6.8%
o 575
 
6.8%
b 575
 
6.8%
e 575
 
6.8%
v 575
 
6.8%
A 575
 
6.8%
Other values (11) 1511
17.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:52:01.589638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.66
Min length1

Characters and Unicode

Total characters8660
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 575
36.5%
available 575
36.5%
100 336
21.3%
90 50
 
3.2%
20 16
 
1.0%
80 16
 
1.0%
70 5
 
0.3%
0 1
 
0.1%
91 1
 
0.1%
2023-12-09T20:52:01.889549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1150
13.3%
a 1150
13.3%
0 760
8.8%
i 575
 
6.6%
e 575
 
6.6%
b 575
 
6.6%
o 575
 
6.6%
N 575
 
6.6%
v 575
 
6.6%
A 575
 
6.6%
Other values (7) 1575
18.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5750
66.4%
Decimal Number 1185
 
13.7%
Uppercase Letter 1150
 
13.3%
Space Separator 575
 
6.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1150
20.0%
a 1150
20.0%
i 575
10.0%
e 575
10.0%
b 575
10.0%
o 575
10.0%
v 575
10.0%
t 575
10.0%
Decimal Number
ValueCountFrequency (%)
0 760
64.1%
1 337
28.4%
9 51
 
4.3%
2 16
 
1.4%
8 16
 
1.4%
7 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 575
50.0%
A 575
50.0%
Space Separator
ValueCountFrequency (%)
575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6900
79.7%
Common 1760
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1150
16.7%
a 1150
16.7%
i 575
8.3%
e 575
8.3%
b 575
8.3%
o 575
8.3%
N 575
8.3%
v 575
8.3%
A 575
8.3%
t 575
8.3%
Common
ValueCountFrequency (%)
0 760
43.2%
575
32.7%
1 337
19.1%
9 51
 
2.9%
2 16
 
0.9%
8 16
 
0.9%
7 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1150
13.3%
a 1150
13.3%
0 760
8.8%
i 575
 
6.6%
e 575
 
6.6%
b 575
 
6.6%
o 575
 
6.6%
N 575
 
6.6%
v 575
 
6.6%
A 575
 
6.6%
Other values (7) 1575
18.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size72.5 KiB
2023-12-09T20:52:02.079139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length13
Mean length17.102
Min length13

Characters and Unicode

Total characters17102
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 773
31.6%
available 773
31.6%
no 223
 
9.1%
specific 223
 
9.1%
resident 223
 
9.1%
population 223
 
9.1%
dedicated 4
 
0.2%
senior/independent 4
 
0.2%
living 4
 
0.2%
2023-12-09T20:52:02.390231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1773
10.4%
l 1769
10.3%
i 1681
9.8%
e 1466
 
8.6%
1450
 
8.5%
o 1446
 
8.5%
t 1227
 
7.2%
N 996
 
5.8%
v 777
 
4.5%
A 773
 
4.5%
Other values (15) 3744
21.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13863
81.1%
Uppercase Letter 1785
 
10.4%
Space Separator 1450
 
8.5%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1773
12.8%
l 1769
12.8%
i 1681
12.1%
e 1466
10.6%
o 1446
10.4%
t 1227
8.9%
v 777
5.6%
b 773
5.6%
p 673
 
4.9%
n 466
 
3.4%
Other values (7) 1812
13.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
55.8%
A 773
43.3%
D 4
 
0.2%
S 4
 
0.2%
I 4
 
0.2%
L 4
 
0.2%
Space Separator
ValueCountFrequency (%)
1450
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15648
91.5%
Common 1454
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1773
11.3%
l 1769
11.3%
i 1681
10.7%
e 1466
9.4%
o 1446
9.2%
t 1227
7.8%
N 996
 
6.4%
v 777
 
5.0%
A 773
 
4.9%
b 773
 
4.9%
Other values (13) 2967
19.0%
Common
ValueCountFrequency (%)
1450
99.7%
/ 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1773
10.4%
l 1769
10.3%
i 1681
9.8%
e 1466
 
8.6%
1450
 
8.5%
o 1446
 
8.5%
t 1227
 
7.2%
N 996
 
5.8%
v 777
 
4.5%
A 773
 
4.5%
Other values (15) 3744
21.9%
Distinct397
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:52:02.899471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.524
Min length1

Characters and Unicode

Total characters9524
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)37.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
1.4 62
 
4.2%
2.2069 16
 
1.1%
2.13992 12
 
0.8%
1.81546 9
 
0.6%
2.17391 5
 
0.3%
2.01342 5
 
0.3%
1.26049 4
 
0.3%
1.4457 3
 
0.2%
Other values (388) 403
27.2%
2023-12-09T20:52:03.547690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 962
 
10.1%
a 962
 
10.1%
1 568
 
6.0%
. 518
 
5.4%
o 481
 
5.1%
e 481
 
5.1%
b 481
 
5.1%
N 481
 
5.1%
i 481
 
5.1%
v 481
 
5.1%
Other values (12) 3628
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
50.5%
Decimal Number 2753
28.9%
Uppercase Letter 962
 
10.1%
Other Punctuation 518
 
5.4%
Space Separator 481
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 568
20.6%
2 320
11.6%
9 265
9.6%
4 258
9.4%
0 250
9.1%
6 237
8.6%
3 236
8.6%
7 219
 
8.0%
8 205
 
7.4%
5 195
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
l 962
20.0%
a 962
20.0%
o 481
10.0%
e 481
10.0%
b 481
10.0%
i 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Other Punctuation
ValueCountFrequency (%)
. 518
100.0%
Space Separator
ValueCountFrequency (%)
481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
60.6%
Common 3752
39.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 568
15.1%
. 518
13.8%
481
12.8%
2 320
8.5%
9 265
7.1%
4 258
6.9%
0 250
6.7%
6 237
6.3%
3 236
6.3%
7 219
 
5.8%
Other values (2) 400
10.7%
Latin
ValueCountFrequency (%)
l 962
16.7%
a 962
16.7%
o 481
8.3%
e 481
8.3%
b 481
8.3%
N 481
8.3%
i 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 962
 
10.1%
a 962
 
10.1%
1 568
 
6.0%
. 518
 
5.4%
o 481
 
5.1%
e 481
 
5.1%
b 481
 
5.1%
N 481
 
5.1%
i 481
 
5.1%
v 481
 
5.1%
Other values (12) 3628
38.1%
Distinct411
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:52:04.065365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length9.648
Min length1

Characters and Unicode

Total characters9648
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)38.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
1.2 40
 
2.7%
1.28736 16
 
1.1%
1.23457 12
 
0.8%
3.62319 9
 
0.6%
1.22544 9
 
0.6%
1.27517 5
 
0.3%
1.26812 5
 
0.3%
0.83193 4
 
0.3%
Other values (402) 419
28.3%
2023-12-09T20:52:04.712247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 962
 
10.0%
l 962
 
10.0%
. 518
 
5.4%
N 481
 
5.0%
t 481
 
5.0%
481
 
5.0%
A 481
 
5.0%
v 481
 
5.0%
i 481
 
5.0%
b 481
 
5.0%
Other values (12) 3839
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
49.9%
Decimal Number 2877
29.8%
Uppercase Letter 962
 
10.0%
Other Punctuation 518
 
5.4%
Space Separator 481
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 445
15.5%
0 430
14.9%
2 321
11.2%
8 250
8.7%
3 244
8.5%
5 244
8.5%
6 242
8.4%
7 237
8.2%
4 235
8.2%
9 229
8.0%
Lowercase Letter
ValueCountFrequency (%)
a 962
20.0%
l 962
20.0%
t 481
10.0%
v 481
10.0%
i 481
10.0%
b 481
10.0%
e 481
10.0%
o 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Other Punctuation
ValueCountFrequency (%)
. 518
100.0%
Space Separator
ValueCountFrequency (%)
481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
59.8%
Common 3876
40.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 518
13.4%
481
12.4%
1 445
11.5%
0 430
11.1%
2 321
8.3%
8 250
6.4%
3 244
6.3%
5 244
6.3%
6 242
6.2%
7 237
6.1%
Other values (2) 464
12.0%
Latin
ValueCountFrequency (%)
a 962
16.7%
l 962
16.7%
N 481
8.3%
t 481
8.3%
A 481
8.3%
v 481
8.3%
i 481
8.3%
b 481
8.3%
e 481
8.3%
o 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 962
 
10.0%
l 962
 
10.0%
. 518
 
5.4%
N 481
 
5.0%
t 481
 
5.0%
481
 
5.0%
A 481
 
5.0%
v 481
 
5.0%
i 481
 
5.0%
b 481
 
5.0%
Other values (12) 3839
39.8%
Distinct168
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size62.7 KiB
2023-12-09T20:52:05.177909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length7.122
Min length1

Characters and Unicode

Total characters7122
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)11.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
0 296
20.0%
41 5
 
0.3%
57 3
 
0.2%
157 3
 
0.2%
58 3
 
0.2%
105 3
 
0.2%
114 3
 
0.2%
52 2
 
0.1%
Other values (159) 201
13.6%
2023-12-09T20:52:05.753651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 962
13.5%
l 962
13.5%
N 481
 
6.8%
o 481
 
6.8%
b 481
 
6.8%
i 481
 
6.8%
e 481
 
6.8%
v 481
 
6.8%
A 481
 
6.8%
481
 
6.8%
Other values (11) 1350
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
67.5%
Uppercase Letter 962
 
13.5%
Decimal Number 869
 
12.2%
Space Separator 481
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 340
39.1%
1 111
 
12.8%
2 72
 
8.3%
4 62
 
7.1%
5 61
 
7.0%
7 51
 
5.9%
3 50
 
5.8%
6 47
 
5.4%
8 39
 
4.5%
9 36
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 962
20.0%
l 962
20.0%
o 481
10.0%
b 481
10.0%
i 481
10.0%
e 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
81.0%
Common 1350
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
481
35.6%
0 340
25.2%
1 111
 
8.2%
2 72
 
5.3%
4 62
 
4.6%
5 61
 
4.5%
7 51
 
3.8%
3 50
 
3.7%
6 47
 
3.5%
8 39
 
2.9%
Latin
ValueCountFrequency (%)
a 962
16.7%
l 962
16.7%
N 481
8.3%
o 481
8.3%
b 481
8.3%
i 481
8.3%
e 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 962
13.5%
l 962
13.5%
N 481
 
6.8%
o 481
 
6.8%
b 481
 
6.8%
i 481
 
6.8%
e 481
 
6.8%
v 481
 
6.8%
A 481
 
6.8%
481
 
6.8%
Other values (11) 1350
19.0%
Distinct224
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T20:52:06.173187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length8.08
Min length1

Characters and Unicode

Total characters8080
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)22.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
0 296
20.0%
0.88985 2
 
0.1%
1.12217 1
 
0.1%
0.38027 1
 
0.1%
0.7024 1
 
0.1%
1.60026 1
 
0.1%
1.50137 1
 
0.1%
1.38242 1
 
0.1%
Other values (215) 215
14.5%
2023-12-09T20:52:06.702250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 962
11.9%
a 962
11.9%
0 536
 
6.6%
i 481
 
6.0%
o 481
 
6.0%
e 481
 
6.0%
b 481
 
6.0%
N 481
 
6.0%
v 481
 
6.0%
A 481
 
6.0%
Other values (12) 2253
27.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
59.5%
Decimal Number 1604
 
19.9%
Uppercase Letter 962
 
11.9%
Space Separator 481
 
6.0%
Other Punctuation 223
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 536
33.4%
1 164
 
10.2%
5 122
 
7.6%
8 121
 
7.5%
7 117
 
7.3%
4 117
 
7.3%
2 116
 
7.2%
6 113
 
7.0%
9 102
 
6.4%
3 96
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
l 962
20.0%
a 962
20.0%
i 481
10.0%
o 481
10.0%
e 481
10.0%
b 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Other Punctuation
ValueCountFrequency (%)
. 223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
71.4%
Common 2308
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 536
23.2%
481
20.8%
. 223
9.7%
1 164
 
7.1%
5 122
 
5.3%
8 121
 
5.2%
7 117
 
5.1%
4 117
 
5.1%
2 116
 
5.0%
6 113
 
4.9%
Other values (2) 198
 
8.6%
Latin
ValueCountFrequency (%)
l 962
16.7%
a 962
16.7%
i 481
8.3%
o 481
8.3%
e 481
8.3%
b 481
8.3%
N 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 962
11.9%
a 962
11.9%
0 536
 
6.6%
i 481
 
6.0%
o 481
 
6.0%
e 481
 
6.0%
b 481
 
6.0%
N 481
 
6.0%
v 481
 
6.0%
A 481
 
6.0%
Other values (12) 2253
27.9%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:52:07.040587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length7.004
Min length1

Characters and Unicode

Total characters7004
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)5.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
0 346
23.4%
71 5
 
0.3%
60 5
 
0.3%
96 5
 
0.3%
120 5
 
0.3%
87 4
 
0.3%
55 4
 
0.3%
72 4
 
0.3%
Other values (91) 141
 
9.5%
2023-12-09T20:52:07.492405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 962
13.7%
l 962
13.7%
N 481
 
6.9%
o 481
 
6.9%
b 481
 
6.9%
i 481
 
6.9%
e 481
 
6.9%
v 481
 
6.9%
A 481
 
6.9%
481
 
6.9%
Other values (11) 1232
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
68.7%
Uppercase Letter 962
 
13.7%
Decimal Number 751
 
10.7%
Space Separator 481
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 380
50.6%
1 61
 
8.1%
7 46
 
6.1%
2 45
 
6.0%
8 42
 
5.6%
6 41
 
5.5%
5 41
 
5.5%
4 36
 
4.8%
9 30
 
4.0%
3 29
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 962
20.0%
l 962
20.0%
o 481
10.0%
b 481
10.0%
i 481
10.0%
e 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
82.4%
Common 1232
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
481
39.0%
0 380
30.8%
1 61
 
5.0%
7 46
 
3.7%
2 45
 
3.7%
8 42
 
3.4%
6 41
 
3.3%
5 41
 
3.3%
4 36
 
2.9%
9 30
 
2.4%
Latin
ValueCountFrequency (%)
a 962
16.7%
l 962
16.7%
N 481
8.3%
o 481
8.3%
b 481
8.3%
i 481
8.3%
e 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 962
13.7%
l 962
13.7%
N 481
 
6.9%
o 481
 
6.9%
b 481
 
6.9%
i 481
 
6.9%
e 481
 
6.9%
v 481
 
6.9%
A 481
 
6.9%
481
 
6.9%
Other values (11) 1232
17.6%
Distinct162
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T20:52:07.893749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.779
Min length1

Characters and Unicode

Total characters7779
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)15.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 481
32.5%
available 481
32.5%
0 346
23.4%
1.08853 3
 
0.2%
1.03106 3
 
0.2%
1.01449 3
 
0.2%
0.89157 2
 
0.1%
0.96652 2
 
0.1%
1.23165 2
 
0.1%
1.02906 2
 
0.1%
Other values (153) 156
 
10.5%
2023-12-09T20:52:08.433591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 962
12.4%
a 962
12.4%
0 514
 
6.6%
i 481
 
6.2%
o 481
 
6.2%
e 481
 
6.2%
b 481
 
6.2%
N 481
 
6.2%
v 481
 
6.2%
A 481
 
6.2%
Other values (12) 1974
25.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4810
61.8%
Decimal Number 1353
 
17.4%
Uppercase Letter 962
 
12.4%
Space Separator 481
 
6.2%
Other Punctuation 173
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 514
38.0%
1 154
 
11.4%
9 108
 
8.0%
2 92
 
6.8%
8 86
 
6.4%
6 85
 
6.3%
5 83
 
6.1%
3 80
 
5.9%
4 79
 
5.8%
7 72
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
l 962
20.0%
a 962
20.0%
i 481
10.0%
o 481
10.0%
e 481
10.0%
b 481
10.0%
v 481
10.0%
t 481
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 481
50.0%
A 481
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Other Punctuation
ValueCountFrequency (%)
. 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5772
74.2%
Common 2007
 
25.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 514
25.6%
481
24.0%
. 173
 
8.6%
1 154
 
7.7%
9 108
 
5.4%
2 92
 
4.6%
8 86
 
4.3%
6 85
 
4.2%
5 83
 
4.1%
3 80
 
4.0%
Other values (2) 151
 
7.5%
Latin
ValueCountFrequency (%)
l 962
16.7%
a 962
16.7%
i 481
8.3%
o 481
8.3%
e 481
8.3%
b 481
8.3%
N 481
8.3%
v 481
8.3%
A 481
8.3%
t 481
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 962
12.4%
a 962
12.4%
0 514
 
6.6%
i 481
 
6.2%
o 481
 
6.2%
e 481
 
6.2%
b 481
 
6.2%
N 481
 
6.2%
v 481
 
6.2%
A 481
 
6.2%
Other values (12) 1974
25.4%
Distinct356
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:52:08.889614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.542
Min length1

Characters and Unicode

Total characters10542
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)34.9%

Sample

1st row3.98921
2nd row4.52453
3rd row1.76459
4th row4.41284
5th row4.80796
ValueCountFrequency (%)
not 622
38.3%
available 622
38.3%
2 19
 
1.2%
4.83146 2
 
0.1%
5.54652 2
 
0.1%
0 2
 
0.1%
4.23199 2
 
0.1%
2.2 2
 
0.1%
3.82838 1
 
0.1%
2.15015 1
 
0.1%
Other values (347) 347
21.4%
2023-12-09T20:52:09.482293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1244
11.8%
l 1244
11.8%
N 622
 
5.9%
t 622
 
5.9%
622
 
5.9%
A 622
 
5.9%
v 622
 
5.9%
i 622
 
5.9%
b 622
 
5.9%
e 622
 
5.9%
Other values (12) 3078
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6220
59.0%
Decimal Number 2099
 
19.9%
Uppercase Letter 1244
 
11.8%
Space Separator 622
 
5.9%
Other Punctuation 357
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 290
13.8%
2 283
13.5%
1 251
12.0%
4 226
10.8%
6 200
9.5%
5 183
8.7%
7 183
8.7%
9 177
8.4%
8 164
7.8%
0 142
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1244
20.0%
l 1244
20.0%
t 622
10.0%
v 622
10.0%
i 622
10.0%
b 622
10.0%
e 622
10.0%
o 622
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 622
50.0%
A 622
50.0%
Space Separator
ValueCountFrequency (%)
622
100.0%
Other Punctuation
ValueCountFrequency (%)
. 357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7464
70.8%
Common 3078
29.2%

Most frequent character per script

Common
ValueCountFrequency (%)
622
20.2%
. 357
11.6%
3 290
9.4%
2 283
9.2%
1 251
8.2%
4 226
 
7.3%
6 200
 
6.5%
5 183
 
5.9%
7 183
 
5.9%
9 177
 
5.8%
Other values (2) 306
9.9%
Latin
ValueCountFrequency (%)
a 1244
16.7%
l 1244
16.7%
N 622
8.3%
t 622
8.3%
A 622
8.3%
v 622
8.3%
i 622
8.3%
b 622
8.3%
e 622
8.3%
o 622
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1244
11.8%
l 1244
11.8%
N 622
 
5.9%
t 622
 
5.9%
622
 
5.9%
A 622
 
5.9%
v 622
 
5.9%
i 622
 
5.9%
b 622
 
5.9%
e 622
 
5.9%
Other values (12) 3078
29.2%
Distinct374
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:52:09.903889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.276
Min length1

Characters and Unicode

Total characters10276
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)36.7%

Sample

1st row676825
2nd row364679
3rd row226681
4th row362578
5th row1539113
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
72000 2
 
0.1%
1358801 2
 
0.1%
10000 2
 
0.1%
324528 2
 
0.1%
15000 2
 
0.1%
359642 2
 
0.1%
224245 1
 
0.1%
38723 1
 
0.1%
Other values (365) 365
22.5%
2023-12-09T20:52:10.451801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
12.1%
l 1242
12.1%
N 621
 
6.0%
o 621
 
6.0%
b 621
 
6.0%
i 621
 
6.0%
e 621
 
6.0%
v 621
 
6.0%
A 621
 
6.0%
621
 
6.0%
Other values (11) 2824
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
60.4%
Decimal Number 2203
 
21.4%
Uppercase Letter 1242
 
12.1%
Space Separator 621
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 287
13.0%
0 281
12.8%
2 242
11.0%
7 223
10.1%
3 219
9.9%
5 216
9.8%
6 202
9.2%
9 193
8.8%
8 170
7.7%
4 170
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
o 621
10.0%
b 621
10.0%
i 621
10.0%
e 621
10.0%
v 621
10.0%
t 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
72.5%
Common 2824
 
27.5%

Most frequent character per script

Common
ValueCountFrequency (%)
621
22.0%
1 287
10.2%
0 281
10.0%
2 242
 
8.6%
7 223
 
7.9%
3 219
 
7.8%
5 216
 
7.6%
6 202
 
7.2%
9 193
 
6.8%
8 170
 
6.0%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
o 621
8.3%
b 621
8.3%
i 621
8.3%
e 621
8.3%
v 621
8.3%
A 621
8.3%
t 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
12.1%
l 1242
12.1%
N 621
 
6.0%
o 621
 
6.0%
b 621
 
6.0%
i 621
 
6.0%
e 621
 
6.0%
v 621
 
6.0%
A 621
 
6.0%
621
 
6.0%
Other values (11) 2824
27.5%
Distinct327
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:52:10.991458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.483
Min length1

Characters and Unicode

Total characters9483
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)28.7%

Sample

1st row2700
2nd row1650
3rd row400
4th row1600
5th row7400
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
300 6
 
0.4%
2500 5
 
0.3%
550 3
 
0.2%
600 3
 
0.2%
200 3
 
0.2%
800 3
 
0.2%
3 3
 
0.2%
1800 3
 
0.2%
Other values (318) 350
21.6%
2023-12-09T20:52:11.638757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
13.1%
l 1242
13.1%
N 621
 
6.5%
t 621
 
6.5%
621
 
6.5%
A 621
 
6.5%
v 621
 
6.5%
i 621
 
6.5%
b 621
 
6.5%
e 621
 
6.5%
Other values (12) 2031
21.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
65.5%
Decimal Number 1351
 
14.2%
Uppercase Letter 1242
 
13.1%
Space Separator 621
 
6.5%
Other Punctuation 59
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 229
17.0%
1 186
13.8%
2 165
12.2%
5 149
11.0%
3 117
8.7%
8 116
8.6%
4 112
8.3%
6 99
7.3%
9 94
7.0%
7 84
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
t 621
10.0%
v 621
10.0%
i 621
10.0%
b 621
10.0%
e 621
10.0%
o 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
78.6%
Common 2031
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
621
30.6%
0 229
 
11.3%
1 186
 
9.2%
2 165
 
8.1%
5 149
 
7.3%
3 117
 
5.8%
8 116
 
5.7%
4 112
 
5.5%
6 99
 
4.9%
9 94
 
4.6%
Other values (2) 143
 
7.0%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
t 621
8.3%
A 621
8.3%
v 621
8.3%
i 621
8.3%
b 621
8.3%
e 621
8.3%
o 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9483
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
13.1%
l 1242
13.1%
N 621
 
6.5%
t 621
 
6.5%
621
 
6.5%
A 621
 
6.5%
v 621
 
6.5%
i 621
 
6.5%
b 621
 
6.5%
e 621
 
6.5%
Other values (12) 2031
21.4%
Distinct332
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:52:12.156273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.46
Min length1

Characters and Unicode

Total characters9460
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)29.2%

Sample

1st row1620
2nd row1410
3rd row320
4th row1010
5th row6520
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
10 4
 
0.2%
3 4
 
0.2%
2000 4
 
0.2%
200 3
 
0.2%
550 3
 
0.2%
600 3
 
0.2%
23 2
 
0.1%
3500 2
 
0.1%
Other values (323) 354
21.8%
2023-12-09T20:52:12.800006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
13.1%
l 1242
13.1%
N 621
 
6.6%
t 621
 
6.6%
621
 
6.6%
A 621
 
6.6%
v 621
 
6.6%
i 621
 
6.6%
b 621
 
6.6%
e 621
 
6.6%
Other values (12) 2008
21.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
65.6%
Decimal Number 1331
 
14.1%
Uppercase Letter 1242
 
13.1%
Space Separator 621
 
6.6%
Other Punctuation 56
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
16.5%
1 211
15.9%
2 158
11.9%
5 155
11.6%
3 126
9.5%
4 106
8.0%
6 96
7.2%
8 96
7.2%
7 90
6.8%
9 74
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
t 621
10.0%
v 621
10.0%
i 621
10.0%
b 621
10.0%
e 621
10.0%
o 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
78.8%
Common 2008
 
21.2%

Most frequent character per script

Common
ValueCountFrequency (%)
621
30.9%
0 219
 
10.9%
1 211
 
10.5%
2 158
 
7.9%
5 155
 
7.7%
3 126
 
6.3%
4 106
 
5.3%
6 96
 
4.8%
8 96
 
4.8%
7 90
 
4.5%
Other values (2) 130
 
6.5%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
t 621
8.3%
A 621
8.3%
v 621
8.3%
i 621
8.3%
b 621
8.3%
e 621
8.3%
o 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
13.1%
l 1242
13.1%
N 621
 
6.6%
t 621
 
6.6%
621
 
6.6%
A 621
 
6.6%
v 621
 
6.6%
i 621
 
6.6%
b 621
 
6.6%
e 621
 
6.6%
Other values (12) 2008
21.2%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:52:13.026427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.236
Min length1

Characters and Unicode

Total characters9236
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
100 353
21.8%
25 4
 
0.2%
0 2
 
0.1%
99.84 2
 
0.1%
83.75 1
 
0.1%
91.6 1
 
0.1%
89.48 1
 
0.1%
24.49 1
 
0.1%
Other values (14) 14
 
0.9%
2023-12-09T20:52:13.374620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
13.4%
l 1242
13.4%
0 712
7.7%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
Other values (12) 1693
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
67.2%
Uppercase Letter 1242
 
13.4%
Decimal Number 1144
 
12.4%
Space Separator 621
 
6.7%
Other Punctuation 19
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 712
62.2%
1 356
31.1%
9 21
 
1.8%
4 11
 
1.0%
8 10
 
0.9%
2 8
 
0.7%
5 8
 
0.7%
6 8
 
0.7%
7 7
 
0.6%
3 3
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
t 621
10.0%
v 621
10.0%
i 621
10.0%
b 621
10.0%
e 621
10.0%
o 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
80.7%
Common 1784
 
19.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 712
39.9%
621
34.8%
1 356
20.0%
9 21
 
1.2%
. 19
 
1.1%
4 11
 
0.6%
8 10
 
0.6%
2 8
 
0.4%
5 8
 
0.4%
6 8
 
0.4%
Other values (2) 10
 
0.6%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
t 621
8.3%
A 621
8.3%
v 621
8.3%
i 621
8.3%
b 621
8.3%
e 621
8.3%
o 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
13.4%
l 1242
13.4%
0 712
7.7%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
Other values (12) 1693
18.3%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:52:13.591001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.235
Min length1

Characters and Unicode

Total characters9235
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
100 356
22.0%
33 3
 
0.2%
0 2
 
0.1%
99.84 1
 
0.1%
98.98 1
 
0.1%
90.64 1
 
0.1%
99.86 1
 
0.1%
93.89 1
 
0.1%
Other values (13) 13
 
0.8%
2023-12-09T20:52:13.935344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
13.4%
l 1242
13.4%
0 718
7.8%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
Other values (12) 1686
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
67.2%
Uppercase Letter 1242
 
13.4%
Decimal Number 1144
 
12.4%
Space Separator 621
 
6.7%
Other Punctuation 18
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 718
62.8%
1 359
31.4%
9 18
 
1.6%
8 11
 
1.0%
3 10
 
0.9%
6 9
 
0.8%
4 7
 
0.6%
7 6
 
0.5%
5 4
 
0.3%
2 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
t 621
10.0%
v 621
10.0%
i 621
10.0%
b 621
10.0%
e 621
10.0%
o 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
80.7%
Common 1783
 
19.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 718
40.3%
621
34.8%
1 359
20.1%
. 18
 
1.0%
9 18
 
1.0%
8 11
 
0.6%
3 10
 
0.6%
6 9
 
0.5%
4 7
 
0.4%
7 6
 
0.3%
Other values (2) 6
 
0.3%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
t 621
8.3%
A 621
8.3%
v 621
8.3%
i 621
8.3%
b 621
8.3%
e 621
8.3%
o 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
13.4%
l 1242
13.4%
0 718
7.8%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
Other values (12) 1686
18.3%
Distinct189
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:52:14.405942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.304
Min length1

Characters and Unicode

Total characters9304
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)16.9%

Sample

1st row92.85
2nd row65.96
3rd row67.95
4th row70.58
5th row99.27
ValueCountFrequency (%)
not 621
38.3%
available 621
38.3%
65 63
 
3.9%
55 39
 
2.4%
60 29
 
1.8%
40 16
 
1.0%
50 16
 
1.0%
77 8
 
0.5%
168 7
 
0.4%
70 5
 
0.3%
Other values (180) 196
 
12.1%
2023-12-09T20:52:15.000009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1242
13.3%
l 1242
13.3%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
e 621
 
6.7%
Other values (12) 1852
19.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6210
66.7%
Uppercase Letter 1242
 
13.3%
Decimal Number 1072
 
11.5%
Space Separator 621
 
6.7%
Other Punctuation 159
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 257
24.0%
6 200
18.7%
4 101
 
9.4%
0 99
 
9.2%
7 91
 
8.5%
8 80
 
7.5%
1 71
 
6.6%
9 69
 
6.4%
2 59
 
5.5%
3 45
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1242
20.0%
l 1242
20.0%
t 621
10.0%
v 621
10.0%
i 621
10.0%
b 621
10.0%
e 621
10.0%
o 621
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 621
50.0%
A 621
50.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7452
80.1%
Common 1852
 
19.9%

Most frequent character per script

Common
ValueCountFrequency (%)
621
33.5%
5 257
13.9%
6 200
 
10.8%
. 159
 
8.6%
4 101
 
5.5%
0 99
 
5.3%
7 91
 
4.9%
8 80
 
4.3%
1 71
 
3.8%
9 69
 
3.7%
Other values (2) 104
 
5.6%
Latin
ValueCountFrequency (%)
a 1242
16.7%
l 1242
16.7%
N 621
8.3%
t 621
8.3%
A 621
8.3%
v 621
8.3%
i 621
8.3%
b 621
8.3%
e 621
8.3%
o 621
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1242
13.3%
l 1242
13.3%
N 621
 
6.7%
t 621
 
6.7%
621
 
6.7%
A 621
 
6.7%
v 621
 
6.7%
i 621
 
6.7%
b 621
 
6.7%
e 621
 
6.7%
Other values (12) 1852
19.9%
Distinct357
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T20:52:15.463795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.602
Min length1

Characters and Unicode

Total characters10602
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)35.1%

Sample

1st row2.39353
2nd row3.86641
3rd row1.41168
4th row2.78561
5th row4.23621
ValueCountFrequency (%)
not 622
38.3%
available 622
38.3%
2.3 19
 
1.2%
3.97704 2
 
0.1%
0 2
 
0.1%
4.6221 2
 
0.1%
3.92696 2
 
0.1%
2.11726 1
 
0.1%
1.86822 1
 
0.1%
2.47992 1
 
0.1%
Other values (348) 348
21.5%
2023-12-09T20:52:16.045995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1244
 
11.7%
l 1244
 
11.7%
N 622
 
5.9%
t 622
 
5.9%
622
 
5.9%
A 622
 
5.9%
v 622
 
5.9%
i 622
 
5.9%
b 622
 
5.9%
e 622
 
5.9%
Other values (12) 3138
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6220
58.7%
Decimal Number 2141
 
20.2%
Uppercase Letter 1244
 
11.7%
Space Separator 622
 
5.9%
Other Punctuation 375
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 340
15.9%
1 278
13.0%
3 257
12.0%
4 191
8.9%
7 188
8.8%
6 187
8.7%
9 179
8.4%
5 178
8.3%
8 176
8.2%
0 167
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1244
20.0%
l 1244
20.0%
t 622
10.0%
v 622
10.0%
i 622
10.0%
b 622
10.0%
e 622
10.0%
o 622
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 622
50.0%
A 622
50.0%
Space Separator
ValueCountFrequency (%)
622
100.0%
Other Punctuation
ValueCountFrequency (%)
. 375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7464
70.4%
Common 3138
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
622
19.8%
. 375
12.0%
2 340
10.8%
1 278
8.9%
3 257
8.2%
4 191
 
6.1%
7 188
 
6.0%
6 187
 
6.0%
9 179
 
5.7%
5 178
 
5.7%
Other values (2) 343
10.9%
Latin
ValueCountFrequency (%)
a 1244
16.7%
l 1244
16.7%
N 622
8.3%
t 622
8.3%
A 622
8.3%
v 622
8.3%
i 622
8.3%
b 622
8.3%
e 622
8.3%
o 622
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1244
 
11.7%
l 1244
 
11.7%
N 622
 
5.9%
t 622
 
5.9%
622
 
5.9%
A 622
 
5.9%
v 622
 
5.9%
i 622
 
5.9%
b 622
 
5.9%
e 622
 
5.9%
Other values (12) 3138
29.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:16.229533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5924 1
 
0.1%
2023-12-09T20:52:16.519190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
9 1
25.0%
2 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
5 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:16.729228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.863
Min length4

Characters and Unicode

Total characters12863
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
16566 1
 
0.1%
5212 1
 
0.1%
5544 1
 
0.1%
78000 1
 
0.1%
5500 1
 
0.1%
6983 1
 
0.1%
207171 1
 
0.1%
221187 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:52:17.070726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1067
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.4%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 84
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
28.6%
2 11
13.1%
1 11
13.1%
5 9
 
10.7%
6 7
 
8.3%
7 7
 
8.3%
8 6
 
7.1%
3 4
 
4.8%
4 3
 
3.6%
9 2
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.7%
Common 1067
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
983
92.1%
0 24
 
2.2%
2 11
 
1.0%
1 11
 
1.0%
5 9
 
0.8%
6 7
 
0.7%
7 7
 
0.7%
8 6
 
0.6%
3 4
 
0.4%
4 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12863
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1067
8.3%
Distinct139
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:52:17.511668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.721
Min length1

Characters and Unicode

Total characters11721
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)13.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 853
46.0%
available 853
46.0%
3000 3
 
0.2%
4000 2
 
0.1%
5000 2
 
0.1%
9500 2
 
0.1%
2000 2
 
0.1%
0 2
 
0.1%
30000 2
 
0.1%
7500 2
 
0.1%
Other values (130) 130
 
7.0%
2023-12-09T20:52:18.067095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1706
14.6%
l 1706
14.6%
N 853
7.3%
o 853
7.3%
b 853
7.3%
i 853
7.3%
e 853
7.3%
v 853
7.3%
A 853
7.3%
853
7.3%
Other values (11) 1485
12.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8530
72.8%
Uppercase Letter 1706
 
14.6%
Space Separator 853
 
7.3%
Decimal Number 632
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 144
22.8%
1 76
12.0%
2 68
10.8%
5 57
 
9.0%
3 55
 
8.7%
7 54
 
8.5%
9 52
 
8.2%
4 50
 
7.9%
6 40
 
6.3%
8 36
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1706
20.0%
l 1706
20.0%
o 853
10.0%
b 853
10.0%
i 853
10.0%
e 853
10.0%
v 853
10.0%
t 853
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 853
50.0%
A 853
50.0%
Space Separator
ValueCountFrequency (%)
853
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10236
87.3%
Common 1485
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
853
57.4%
0 144
 
9.7%
1 76
 
5.1%
2 68
 
4.6%
5 57
 
3.8%
3 55
 
3.7%
7 54
 
3.6%
9 52
 
3.5%
4 50
 
3.4%
6 40
 
2.7%
Latin
ValueCountFrequency (%)
a 1706
16.7%
l 1706
16.7%
N 853
8.3%
o 853
8.3%
b 853
8.3%
i 853
8.3%
e 853
8.3%
v 853
8.3%
A 853
8.3%
t 853
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11721
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1706
14.6%
l 1706
14.6%
N 853
7.3%
o 853
7.3%
b 853
7.3%
i 853
7.3%
e 853
7.3%
v 853
7.3%
A 853
7.3%
853
7.3%
Other values (11) 1485
12.7%
Distinct52
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:52:18.332753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.174
Min length1

Characters and Unicode

Total characters12174
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)4.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 919
47.9%
available 919
47.9%
0 7
 
0.4%
60 5
 
0.3%
40 5
 
0.3%
50 5
 
0.3%
168 4
 
0.2%
70 4
 
0.2%
80 3
 
0.2%
45 2
 
0.1%
Other values (43) 46
 
2.4%
2023-12-09T20:52:18.771671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1838
15.1%
l 1838
15.1%
N 919
7.5%
o 919
7.5%
t 919
7.5%
919
7.5%
A 919
7.5%
v 919
7.5%
i 919
7.5%
b 919
7.5%
Other values (12) 1146
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9190
75.5%
Uppercase Letter 1838
 
15.1%
Space Separator 919
 
7.5%
Decimal Number 206
 
1.7%
Other Punctuation 21
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
18.9%
6 27
13.1%
5 27
13.1%
1 25
12.1%
7 18
8.7%
4 17
8.3%
2 15
 
7.3%
8 13
 
6.3%
9 13
 
6.3%
3 12
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 1838
20.0%
l 1838
20.0%
o 919
10.0%
t 919
10.0%
v 919
10.0%
i 919
10.0%
b 919
10.0%
e 919
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 919
50.0%
A 919
50.0%
Space Separator
ValueCountFrequency (%)
919
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11028
90.6%
Common 1146
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
919
80.2%
0 39
 
3.4%
6 27
 
2.4%
5 27
 
2.4%
1 25
 
2.2%
. 21
 
1.8%
7 18
 
1.6%
4 17
 
1.5%
2 15
 
1.3%
8 13
 
1.1%
Other values (2) 25
 
2.2%
Latin
ValueCountFrequency (%)
a 1838
16.7%
l 1838
16.7%
N 919
8.3%
o 919
8.3%
t 919
8.3%
A 919
8.3%
v 919
8.3%
i 919
8.3%
b 919
8.3%
e 919
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1838
15.1%
l 1838
15.1%
N 919
7.5%
o 919
7.5%
t 919
7.5%
919
7.5%
A 919
7.5%
v 919
7.5%
i 919
7.5%
b 919
7.5%
Other values (12) 1146
9.4%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:52:18.992907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.102
Min length1

Characters and Unicode

Total characters12102
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 923
48.0%
available 923
48.0%
0 14
 
0.7%
5 10
 
0.5%
2 7
 
0.4%
10 5
 
0.3%
3 5
 
0.3%
4 4
 
0.2%
9 4
 
0.2%
1 4
 
0.2%
Other values (16) 24
 
1.2%
2023-12-09T20:52:19.329368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1846
15.3%
l 1846
15.3%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1026
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9230
76.3%
Uppercase Letter 1846
 
15.3%
Space Separator 923
 
7.6%
Decimal Number 102
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
21.6%
1 21
20.6%
5 13
12.7%
2 13
12.7%
3 9
8.8%
7 6
 
5.9%
4 5
 
4.9%
8 5
 
4.9%
9 4
 
3.9%
6 4
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1846
20.0%
l 1846
20.0%
o 923
10.0%
t 923
10.0%
v 923
10.0%
i 923
10.0%
b 923
10.0%
e 923
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 923
50.0%
A 923
50.0%
Space Separator
ValueCountFrequency (%)
923
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11076
91.5%
Common 1026
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
923
90.0%
0 22
 
2.1%
1 21
 
2.0%
5 13
 
1.3%
2 13
 
1.3%
3 9
 
0.9%
7 6
 
0.6%
4 5
 
0.5%
8 5
 
0.5%
9 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1846
16.7%
l 1846
16.7%
N 923
8.3%
o 923
8.3%
t 923
8.3%
A 923
8.3%
v 923
8.3%
i 923
8.3%
b 923
8.3%
e 923
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1846
15.3%
l 1846
15.3%
N 923
7.6%
o 923
7.6%
t 923
7.6%
923
7.6%
A 923
7.6%
v 923
7.6%
i 923
7.6%
b 923
7.6%
Other values (12) 1026
8.5%
Distinct37
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:52:19.550901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.094
Min length1

Characters and Unicode

Total characters12094
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
0 12
 
0.6%
3 6
 
0.3%
1 5
 
0.3%
15 4
 
0.2%
20 4
 
0.2%
8 4
 
0.2%
5 4
 
0.2%
10 3
 
0.2%
Other values (28) 38
 
2.0%
2023-12-09T20:52:19.883072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.2%
l 1840
15.2%
N 920
7.6%
t 920
7.6%
920
7.6%
A 920
7.6%
v 920
7.6%
i 920
7.6%
b 920
7.6%
e 920
7.6%
Other values (12) 1054
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
76.1%
Uppercase Letter 1840
 
15.2%
Space Separator 920
 
7.6%
Decimal Number 132
 
1.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
22.7%
0 28
21.2%
2 17
12.9%
5 14
10.6%
3 12
 
9.1%
4 8
 
6.1%
8 7
 
5.3%
9 6
 
4.5%
6 6
 
4.5%
7 4
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
t 920
10.0%
v 920
10.0%
i 920
10.0%
b 920
10.0%
e 920
10.0%
o 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
91.3%
Common 1054
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
920
87.3%
1 30
 
2.8%
0 28
 
2.7%
2 17
 
1.6%
5 14
 
1.3%
3 12
 
1.1%
4 8
 
0.8%
8 7
 
0.7%
9 6
 
0.6%
6 6
 
0.6%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
t 920
8.3%
A 920
8.3%
v 920
8.3%
i 920
8.3%
b 920
8.3%
e 920
8.3%
o 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.2%
l 1840
15.2%
N 920
7.6%
t 920
7.6%
920
7.6%
A 920
7.6%
v 920
7.6%
i 920
7.6%
b 920
7.6%
e 920
7.6%
Other values (12) 1054
8.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:20.051657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:20.326884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:20.497463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1230 1
 
0.1%
1000 1
 
0.1%
2023-12-09T20:52:20.776285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 2
25.0%
2 1
 
12.5%
3 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
0 4
 
0.4%
1 2
 
0.2%
2 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:20.940466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:21.216413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:21.381609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:21.661122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:21.828373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
24467 1
 
0.1%
5000 1
 
0.1%
2023-12-09T20:52:22.110859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
4 2
22.2%
2 1
 
11.1%
6 1
 
11.1%
7 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
0 3
 
0.3%
4 2
 
0.2%
2 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:22.280946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:23.621620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:23.824151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.906
Min length5

Characters and Unicode

Total characters12906
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
130096 1
 
0.1%
106852 1
 
0.1%
591640 1
 
0.1%
111285 1
 
0.1%
200000 1
 
0.1%
104570 1
 
0.1%
68096 1
 
0.1%
159470 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:52:24.160651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
b 987
7.6%
i 987
7.6%
e 987
7.6%
v 987
7.6%
A 987
7.6%
987
7.6%
Other values (11) 1062
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 75
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
25.3%
1 10
13.3%
5 9
12.0%
2 9
12.0%
6 7
 
9.3%
7 6
 
8.0%
9 4
 
5.3%
8 4
 
5.3%
4 4
 
5.3%
3 3
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
b 987
10.0%
i 987
10.0%
e 987
10.0%
v 987
10.0%
t 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.8%
Common 1062
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.9%
0 19
 
1.8%
1 10
 
0.9%
5 9
 
0.8%
2 9
 
0.8%
6 7
 
0.7%
7 6
 
0.6%
9 4
 
0.4%
8 4
 
0.4%
4 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
b 987
8.3%
i 987
8.3%
e 987
8.3%
v 987
8.3%
A 987
8.3%
t 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
b 987
7.6%
i 987
7.6%
e 987
7.6%
v 987
7.6%
A 987
7.6%
987
7.6%
Other values (11) 1062
8.2%
Distinct63
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:52:24.461817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.459
Min length1

Characters and Unicode

Total characters12459
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)6.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 938
48.4%
available 938
48.4%
13160 1
 
0.1%
3255 1
 
0.1%
7038 1
 
0.1%
12350 1
 
0.1%
39269 1
 
0.1%
5644 1
 
0.1%
4200 1
 
0.1%
1943 1
 
0.1%
Other values (54) 54
 
2.8%
2023-12-09T20:52:24.882827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1876
15.1%
l 1876
15.1%
N 938
7.5%
o 938
7.5%
b 938
7.5%
i 938
7.5%
e 938
7.5%
v 938
7.5%
A 938
7.5%
938
7.5%
Other values (11) 1203
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9380
75.3%
Uppercase Letter 1876
 
15.1%
Space Separator 938
 
7.5%
Decimal Number 265
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
23.8%
1 46
17.4%
5 28
10.6%
3 24
 
9.1%
2 22
 
8.3%
6 20
 
7.5%
4 18
 
6.8%
9 17
 
6.4%
8 16
 
6.0%
7 11
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1876
20.0%
l 1876
20.0%
o 938
10.0%
b 938
10.0%
i 938
10.0%
e 938
10.0%
v 938
10.0%
t 938
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 938
50.0%
A 938
50.0%
Space Separator
ValueCountFrequency (%)
938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11256
90.3%
Common 1203
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
938
78.0%
0 63
 
5.2%
1 46
 
3.8%
5 28
 
2.3%
3 24
 
2.0%
2 22
 
1.8%
6 20
 
1.7%
4 18
 
1.5%
9 17
 
1.4%
8 16
 
1.3%
Latin
ValueCountFrequency (%)
a 1876
16.7%
l 1876
16.7%
N 938
8.3%
o 938
8.3%
b 938
8.3%
i 938
8.3%
e 938
8.3%
v 938
8.3%
A 938
8.3%
t 938
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1876
15.1%
l 1876
15.1%
N 938
7.5%
o 938
7.5%
b 938
7.5%
i 938
7.5%
e 938
7.5%
v 938
7.5%
A 938
7.5%
938
7.5%
Other values (11) 1203
9.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:25.104173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.871
Min length3

Characters and Unicode

Total characters12871
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
192200 1
 
0.1%
131835 1
 
0.1%
177093 1
 
0.1%
255084 1
 
0.1%
86453 1
 
0.1%
91958 1
 
0.1%
113886 1
 
0.1%
9004 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:52:25.436739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1075
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.4%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 92
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
17.4%
0 13
14.1%
5 11
12.0%
8 10
10.9%
2 8
8.7%
9 8
8.7%
3 8
8.7%
4 7
7.6%
6 7
7.6%
7 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.6%
Common 1075
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
983
91.4%
1 16
 
1.5%
0 13
 
1.2%
5 11
 
1.0%
8 10
 
0.9%
2 8
 
0.7%
9 8
 
0.7%
3 8
 
0.7%
4 7
 
0.7%
6 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1075
8.4%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:25.626816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.942
Min length5

Characters and Unicode

Total characters12942
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
381993 1
 
0.1%
295126 1
 
0.1%
211000 1
 
0.1%
275000 1
 
0.1%
136164 1
 
0.1%
53856 1
 
0.1%
159572 1
 
0.1%
75000 1
 
0.1%
2023-12-09T20:52:25.959427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1038
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.6%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
19.6%
1 7
15.2%
5 7
15.2%
2 5
10.9%
3 4
8.7%
9 4
8.7%
6 4
8.7%
7 3
 
6.5%
8 2
 
4.3%
4 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.0%
Common 1038
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
992
95.6%
0 9
 
0.9%
1 7
 
0.7%
5 7
 
0.7%
2 5
 
0.5%
3 4
 
0.4%
9 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1038
8.0%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:26.145000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.936
Min length1

Characters and Unicode

Total characters12936
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 1
 
0.1%
69019 1
 
0.1%
4500 1
 
0.1%
3600 1
 
0.1%
3550 1
 
0.1%
5032 1
 
0.1%
10805 1
 
0.1%
2023-12-09T20:52:26.446643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.8%
Uppercase Letter 1986
 
15.4%
Space Separator 993
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
37.0%
5 5
18.5%
3 3
 
11.1%
6 2
 
7.4%
9 2
 
7.4%
1 2
 
7.4%
4 1
 
3.7%
2 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%
Common
ValueCountFrequency (%)
993
97.4%
0 10
 
1.0%
5 5
 
0.5%
3 3
 
0.3%
6 2
 
0.2%
9 2
 
0.2%
1 2
 
0.2%
4 1
 
0.1%
2 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.4%
l 1986
15.4%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (10) 1020
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:26.617413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:26.895154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:52:27.108224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.841
Min length3

Characters and Unicode

Total characters12841
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
975 1
 
0.1%
1500 1
 
0.1%
6420 1
 
0.1%
39071 1
 
0.1%
1000 1
 
0.1%
7825 1
 
0.1%
60000 1
 
0.1%
4758 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:52:27.439282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1057
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.5%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.6%
Decimal Number 75
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
40.0%
1 11
 
14.7%
5 9
 
12.0%
7 5
 
6.7%
2 5
 
6.7%
8 5
 
6.7%
9 3
 
4.0%
6 3
 
4.0%
3 2
 
2.7%
4 2
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
o 982
10.0%
b 982
10.0%
i 982
10.0%
e 982
10.0%
v 982
10.0%
t 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
91.8%
Common 1057
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
982
92.9%
0 30
 
2.8%
1 11
 
1.0%
5 9
 
0.9%
7 5
 
0.5%
2 5
 
0.5%
8 5
 
0.5%
9 3
 
0.3%
6 3
 
0.3%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
o 982
8.3%
b 982
8.3%
i 982
8.3%
e 982
8.3%
v 982
8.3%
A 982
8.3%
t 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1057
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:27.611890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:27.888390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:28.053526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:28.337165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:28.505272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:28.782849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:28.959080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
85082 1
 
0.1%
2023-12-09T20:52:29.281618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
8 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:29.463474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length5

Characters and Unicode

Total characters12984
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
15633 1
 
0.1%
10411 1
 
0.1%
2023-12-09T20:52:29.779648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
3 2
20.0%
5 1
 
10.0%
6 1
 
10.0%
0 1
 
10.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
1 4
 
0.4%
3 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%
Distinct177
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:52:30.249843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.478
Min length3

Characters and Unicode

Total characters11478
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)17.0%

Sample

1st row10077
2nd row19753
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
5000 5
 
0.3%
9000 2
 
0.1%
4600 2
 
0.1%
12400 2
 
0.1%
1500 2
 
0.1%
28900 2
 
0.1%
18726 1
 
0.1%
7700 1
 
0.1%
Other values (168) 168
 
9.3%
2023-12-09T20:52:30.844492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
14.2%
l 1630
14.2%
N 815
7.1%
o 815
7.1%
b 815
7.1%
i 815
7.1%
e 815
7.1%
v 815
7.1%
A 815
7.1%
815
7.1%
Other values (11) 1698
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
71.0%
Uppercase Letter 1630
 
14.2%
Decimal Number 883
 
7.7%
Space Separator 815
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 153
17.3%
1 118
13.4%
3 84
9.5%
4 81
9.2%
6 80
9.1%
2 80
9.1%
9 79
8.9%
5 77
8.7%
8 74
8.4%
7 57
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
b 815
10.0%
i 815
10.0%
e 815
10.0%
v 815
10.0%
t 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
85.2%
Common 1698
 
14.8%

Most frequent character per script

Common
ValueCountFrequency (%)
815
48.0%
0 153
 
9.0%
1 118
 
6.9%
3 84
 
4.9%
4 81
 
4.8%
6 80
 
4.7%
2 80
 
4.7%
9 79
 
4.7%
5 77
 
4.5%
8 74
 
4.4%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
b 815
8.3%
i 815
8.3%
e 815
8.3%
v 815
8.3%
A 815
8.3%
t 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
14.2%
l 1630
14.2%
N 815
7.1%
o 815
7.1%
b 815
7.1%
i 815
7.1%
e 815
7.1%
v 815
7.1%
A 815
7.1%
815
7.1%
Other values (11) 1698
14.8%
Distinct49
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:52:31.147832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.68
Min length1

Characters and Unicode

Total characters12680
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)4.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 952
48.8%
available 952
48.8%
9.95025 1
 
0.1%
3.21925 1
 
0.1%
3.89822 1
 
0.1%
5.14668 1
 
0.1%
6.44538 1
 
0.1%
5.80271 1
 
0.1%
0 1
 
0.1%
5.69395 1
 
0.1%
Other values (40) 40
 
2.0%
2023-12-09T20:52:31.572695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1904
15.0%
l 1904
15.0%
N 952
7.5%
t 952
7.5%
952
7.5%
A 952
7.5%
v 952
7.5%
i 952
7.5%
b 952
7.5%
e 952
7.5%
Other values (12) 1256
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9520
75.1%
Uppercase Letter 1904
 
15.0%
Space Separator 952
 
7.5%
Decimal Number 261
 
2.1%
Other Punctuation 43
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
16.5%
2 31
11.9%
6 31
11.9%
5 28
10.7%
8 24
9.2%
3 23
8.8%
9 22
8.4%
4 22
8.4%
7 20
7.7%
0 17
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1904
20.0%
l 1904
20.0%
t 952
10.0%
v 952
10.0%
i 952
10.0%
b 952
10.0%
e 952
10.0%
o 952
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 952
50.0%
A 952
50.0%
Space Separator
ValueCountFrequency (%)
952
100.0%
Other Punctuation
ValueCountFrequency (%)
. 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11424
90.1%
Common 1256
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
952
75.8%
. 43
 
3.4%
1 43
 
3.4%
2 31
 
2.5%
6 31
 
2.5%
5 28
 
2.2%
8 24
 
1.9%
3 23
 
1.8%
9 22
 
1.8%
4 22
 
1.8%
Other values (2) 37
 
2.9%
Latin
ValueCountFrequency (%)
a 1904
16.7%
l 1904
16.7%
N 952
8.3%
t 952
8.3%
A 952
8.3%
v 952
8.3%
i 952
8.3%
b 952
8.3%
e 952
8.3%
o 952
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1904
15.0%
l 1904
15.0%
N 952
7.5%
t 952
7.5%
952
7.5%
A 952
7.5%
v 952
7.5%
i 952
7.5%
b 952
7.5%
e 952
7.5%
Other values (12) 1256
9.9%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:52:31.815110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.486
Min length1

Characters and Unicode

Total characters12486
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 951
48.7%
available 951
48.7%
70 4
 
0.2%
40 3
 
0.2%
80 3
 
0.2%
100 3
 
0.2%
65 2
 
0.1%
133 2
 
0.1%
0 2
 
0.1%
98 2
 
0.1%
Other values (25) 28
 
1.4%
2023-12-09T20:52:32.169537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1902
15.2%
a 1902
15.2%
o 951
7.6%
e 951
7.6%
b 951
7.6%
i 951
7.6%
N 951
7.6%
v 951
7.6%
A 951
7.6%
951
7.6%
Other values (12) 1074
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9510
76.2%
Uppercase Letter 1902
 
15.2%
Space Separator 951
 
7.6%
Decimal Number 119
 
1.0%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
19.3%
1 22
18.5%
8 12
10.1%
5 12
10.1%
9 11
9.2%
6 11
9.2%
7 10
8.4%
3 7
 
5.9%
2 6
 
5.0%
4 5
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
l 1902
20.0%
a 1902
20.0%
o 951
10.0%
e 951
10.0%
b 951
10.0%
i 951
10.0%
v 951
10.0%
t 951
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 951
50.0%
A 951
50.0%
Space Separator
ValueCountFrequency (%)
951
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11412
91.4%
Common 1074
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
951
88.5%
0 23
 
2.1%
1 22
 
2.0%
8 12
 
1.1%
5 12
 
1.1%
9 11
 
1.0%
6 11
 
1.0%
7 10
 
0.9%
3 7
 
0.7%
2 6
 
0.6%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
l 1902
16.7%
a 1902
16.7%
o 951
8.3%
e 951
8.3%
b 951
8.3%
i 951
8.3%
N 951
8.3%
v 951
8.3%
A 951
8.3%
t 951
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1902
15.2%
a 1902
15.2%
o 951
7.6%
e 951
7.6%
b 951
7.6%
i 951
7.6%
N 951
7.6%
v 951
7.6%
A 951
7.6%
951
7.6%
Other values (12) 1074
8.6%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2023-12-09T20:52:32.425150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.993
Min length1

Characters and Unicode

Total characters10993
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.7%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row0.03181
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0 148
 
8.2%
0.05556 1
 
0.1%
0.08143 1
 
0.1%
0.38543 1
 
0.1%
0.04865 1
 
0.1%
0.2289 1
 
0.1%
0.03181 1
 
0.1%
0.02167 1
 
0.1%
Other values (30) 30
 
1.7%
2023-12-09T20:52:32.796123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
14.8%
l 1630
14.8%
N 815
7.4%
o 815
7.4%
t 815
7.4%
815
7.4%
A 815
7.4%
v 815
7.4%
i 815
7.4%
b 815
7.4%
Other values (12) 1213
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
74.1%
Uppercase Letter 1630
 
14.8%
Space Separator 815
 
7.4%
Decimal Number 361
 
3.3%
Other Punctuation 37
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
58.4%
5 25
 
6.9%
4 23
 
6.4%
1 19
 
5.3%
8 18
 
5.0%
6 18
 
5.0%
3 17
 
4.7%
7 13
 
3.6%
9 9
 
2.5%
2 8
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
89.0%
Common 1213
 
11.0%

Most frequent character per script

Common
ValueCountFrequency (%)
815
67.2%
0 211
 
17.4%
. 37
 
3.1%
5 25
 
2.1%
4 23
 
1.9%
1 19
 
1.6%
8 18
 
1.5%
6 18
 
1.5%
3 17
 
1.4%
7 13
 
1.1%
Other values (2) 17
 
1.4%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
14.8%
l 1630
14.8%
N 815
7.4%
o 815
7.4%
t 815
7.4%
815
7.4%
A 815
7.4%
v 815
7.4%
i 815
7.4%
b 815
7.4%
Other values (12) 1213
11.0%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T20:52:32.993210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.148
Min length2

Characters and Unicode

Total characters11148
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row100
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
100 162
 
8.9%
80 6
 
0.3%
70 5
 
0.3%
90 3
 
0.2%
40 1
 
0.1%
50.42 1
 
0.1%
78.13 1
 
0.1%
85.71 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:52:33.311382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
14.6%
l 1630
14.6%
N 815
7.3%
t 815
7.3%
815
7.3%
A 815
7.3%
v 815
7.3%
i 815
7.3%
b 815
7.3%
e 815
7.3%
Other values (12) 1368
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
73.1%
Uppercase Letter 1630
 
14.6%
Space Separator 815
 
7.3%
Decimal Number 546
 
4.9%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
62.6%
1 164
30.0%
8 12
 
2.2%
7 9
 
1.6%
9 5
 
0.9%
5 5
 
0.9%
4 3
 
0.5%
2 2
 
0.4%
3 2
 
0.4%
6 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
o 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
87.7%
Common 1368
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
815
59.6%
0 342
25.0%
1 164
 
12.0%
8 12
 
0.9%
7 9
 
0.7%
. 7
 
0.5%
9 5
 
0.4%
5 5
 
0.4%
4 3
 
0.2%
2 2
 
0.1%
Other values (2) 4
 
0.3%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%
o 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
14.6%
l 1630
14.6%
N 815
7.3%
t 815
7.3%
815
7.3%
A 815
7.3%
v 815
7.3%
i 815
7.3%
b 815
7.3%
e 815
7.3%
Other values (12) 1368
12.3%
Distinct81
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:52:33.639393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.236
Min length1

Characters and Unicode

Total characters11236
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)7.9%

Sample

1st row0.29771
2nd row0.10125
3rd rowNot Available
4th rowNot Available
5th row0.07954
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0 106
 
5.8%
0.33847 1
 
0.1%
0.15485 1
 
0.1%
0.10541 1
 
0.1%
0.10125 1
 
0.1%
0.46171 1
 
0.1%
0.02592 1
 
0.1%
0.026 1
 
0.1%
Other values (72) 72
 
4.0%
2023-12-09T20:52:34.099941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
14.5%
l 1630
14.5%
N 815
7.3%
o 815
7.3%
t 815
7.3%
815
7.3%
A 815
7.3%
v 815
7.3%
i 815
7.3%
b 815
7.3%
Other values (12) 1456
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
72.5%
Uppercase Letter 1630
 
14.5%
Space Separator 815
 
7.3%
Decimal Number 562
 
5.0%
Other Punctuation 79
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
37.5%
1 72
 
12.8%
2 46
 
8.2%
3 42
 
7.5%
7 40
 
7.1%
4 39
 
6.9%
9 32
 
5.7%
6 31
 
5.5%
8 25
 
4.4%
5 24
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
87.0%
Common 1456
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
815
56.0%
0 211
 
14.5%
. 79
 
5.4%
1 72
 
4.9%
2 46
 
3.2%
3 42
 
2.9%
7 40
 
2.7%
4 39
 
2.7%
9 32
 
2.2%
6 31
 
2.1%
Other values (2) 49
 
3.4%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
14.5%
l 1630
14.5%
N 815
7.3%
o 815
7.3%
t 815
7.3%
815
7.3%
A 815
7.3%
v 815
7.3%
i 815
7.3%
b 815
7.3%
Other values (12) 1456
13.0%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:52:34.303608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.784
Min length1

Characters and Unicode

Total characters10784
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0 148
 
8.2%
2 12
 
0.7%
1 9
 
0.5%
4 4
 
0.2%
7 4
 
0.2%
3 3
 
0.2%
25 1
 
0.1%
0.25 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:52:34.620287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
15.1%
l 1630
15.1%
N 815
7.6%
o 815
7.6%
b 815
7.6%
i 815
7.6%
e 815
7.6%
v 815
7.6%
A 815
7.6%
815
7.6%
Other values (11) 1004
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
75.6%
Uppercase Letter 1630
 
15.1%
Space Separator 815
 
7.6%
Decimal Number 188
 
1.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
79.3%
2 14
 
7.4%
1 9
 
4.8%
4 4
 
2.1%
7 4
 
2.1%
3 3
 
1.6%
5 3
 
1.6%
8 1
 
0.5%
6 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
b 815
10.0%
i 815
10.0%
e 815
10.0%
v 815
10.0%
t 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
90.7%
Common 1004
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
815
81.2%
0 149
 
14.8%
2 14
 
1.4%
1 9
 
0.9%
4 4
 
0.4%
7 4
 
0.4%
3 3
 
0.3%
5 3
 
0.3%
. 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
b 815
8.3%
i 815
8.3%
e 815
8.3%
v 815
8.3%
A 815
8.3%
t 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
15.1%
l 1630
15.1%
N 815
7.6%
o 815
7.6%
b 815
7.6%
i 815
7.6%
e 815
7.6%
v 815
7.6%
A 815
7.6%
815
7.6%
Other values (11) 1004
9.3%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:52:34.822511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.806
Min length1

Characters and Unicode

Total characters10806
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row3
2nd row2
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0 106
 
5.8%
1 13
 
0.7%
2 12
 
0.7%
5 8
 
0.4%
3 7
 
0.4%
4 5
 
0.3%
15 4
 
0.2%
16 3
 
0.2%
Other values (16) 27
 
1.5%
2023-12-09T20:52:35.144614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
15.1%
l 1630
15.1%
N 815
7.5%
o 815
7.5%
t 815
7.5%
815
7.5%
A 815
7.5%
v 815
7.5%
i 815
7.5%
b 815
7.5%
Other values (12) 1026
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
75.4%
Uppercase Letter 1630
 
15.1%
Space Separator 815
 
7.5%
Decimal Number 210
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
51.0%
1 33
 
15.7%
2 17
 
8.1%
5 15
 
7.1%
3 10
 
4.8%
4 10
 
4.8%
6 6
 
2.9%
7 6
 
2.9%
8 4
 
1.9%
9 2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
90.5%
Common 1026
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
815
79.4%
0 107
 
10.4%
1 33
 
3.2%
2 17
 
1.7%
5 15
 
1.5%
3 10
 
1.0%
4 10
 
1.0%
6 6
 
0.6%
7 6
 
0.6%
8 4
 
0.4%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
15.1%
l 1630
15.1%
N 815
7.5%
o 815
7.5%
t 815
7.5%
815
7.5%
A 815
7.5%
v 815
7.5%
i 815
7.5%
b 815
7.5%
Other values (12) 1026
9.5%
Distinct103
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:52:35.500459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.06
Min length1

Characters and Unicode

Total characters12060
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)9.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 887
47.0%
available 887
47.0%
0 6
 
0.3%
2000 3
 
0.2%
50000 2
 
0.1%
12000 2
 
0.1%
60000 2
 
0.1%
17600 2
 
0.1%
6400 1
 
0.1%
26387 1
 
0.1%
Other values (94) 94
 
5.0%
2023-12-09T20:52:35.982754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1774
14.7%
l 1774
14.7%
N 887
7.4%
o 887
7.4%
b 887
7.4%
i 887
7.4%
e 887
7.4%
v 887
7.4%
A 887
7.4%
887
7.4%
Other values (11) 1416
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8870
73.5%
Uppercase Letter 1774
 
14.7%
Space Separator 887
 
7.4%
Decimal Number 529
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
31.2%
1 59
 
11.2%
2 54
 
10.2%
8 40
 
7.6%
4 40
 
7.6%
6 38
 
7.2%
7 38
 
7.2%
3 38
 
7.2%
5 32
 
6.0%
9 25
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1774
20.0%
l 1774
20.0%
o 887
10.0%
b 887
10.0%
i 887
10.0%
e 887
10.0%
v 887
10.0%
t 887
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 887
50.0%
A 887
50.0%
Space Separator
ValueCountFrequency (%)
887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10644
88.3%
Common 1416
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
887
62.6%
0 165
 
11.7%
1 59
 
4.2%
2 54
 
3.8%
8 40
 
2.8%
4 40
 
2.8%
6 38
 
2.7%
7 38
 
2.7%
3 38
 
2.7%
5 32
 
2.3%
Latin
ValueCountFrequency (%)
a 1774
16.7%
l 1774
16.7%
N 887
8.3%
o 887
8.3%
b 887
8.3%
i 887
8.3%
e 887
8.3%
v 887
8.3%
A 887
8.3%
t 887
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1774
14.7%
l 1774
14.7%
N 887
7.4%
o 887
7.4%
b 887
7.4%
i 887
7.4%
e 887
7.4%
v 887
7.4%
A 887
7.4%
887
7.4%
Other values (11) 1416
11.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:52:36.187728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.688
Min length1

Characters and Unicode

Total characters11688
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 887
47.0%
available 887
47.0%
0 102
 
5.4%
305427 1
 
0.1%
36000 1
 
0.1%
9805 1
 
0.1%
49917 1
 
0.1%
24200 1
 
0.1%
91262 1
 
0.1%
188517 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:52:36.499396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1774
15.2%
l 1774
15.2%
N 887
7.6%
o 887
7.6%
b 887
7.6%
i 887
7.6%
e 887
7.6%
v 887
7.6%
A 887
7.6%
887
7.6%
Other values (11) 1044
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8870
75.9%
Uppercase Letter 1774
 
15.2%
Space Separator 887
 
7.6%
Decimal Number 157
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
72.0%
1 8
 
5.1%
9 6
 
3.8%
2 5
 
3.2%
7 5
 
3.2%
6 5
 
3.2%
8 5
 
3.2%
5 4
 
2.5%
4 4
 
2.5%
3 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1774
20.0%
l 1774
20.0%
o 887
10.0%
b 887
10.0%
i 887
10.0%
e 887
10.0%
v 887
10.0%
t 887
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 887
50.0%
A 887
50.0%
Space Separator
ValueCountFrequency (%)
887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10644
91.1%
Common 1044
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
887
85.0%
0 113
 
10.8%
1 8
 
0.8%
9 6
 
0.6%
2 5
 
0.5%
7 5
 
0.5%
6 5
 
0.5%
8 5
 
0.5%
5 4
 
0.4%
4 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1774
16.7%
l 1774
16.7%
N 887
8.3%
o 887
8.3%
b 887
8.3%
i 887
8.3%
e 887
8.3%
v 887
8.3%
A 887
8.3%
t 887
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1774
15.2%
l 1774
15.2%
N 887
7.6%
o 887
7.6%
b 887
7.6%
i 887
7.6%
e 887
7.6%
v 887
7.6%
A 887
7.6%
887
7.6%
Other values (11) 1044
8.9%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:52:36.720672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.859
Min length5

Characters and Unicode

Total characters12859
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
296302 1
 
0.1%
81560 1
 
0.1%
1200000 1
 
0.1%
192000 1
 
0.1%
93000 1
 
0.1%
590696 1
 
0.1%
200000 1
 
0.1%
1600000 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T20:52:37.079120image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
b 980
7.6%
i 980
7.6%
e 980
7.6%
v 980
7.6%
A 980
7.6%
980
7.6%
Other values (11) 1099
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.2%
Uppercase Letter 1960
 
15.2%
Space Separator 980
 
7.6%
Decimal Number 119
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
30.3%
2 15
12.6%
1 15
12.6%
6 11
 
9.2%
5 10
 
8.4%
9 10
 
8.4%
4 7
 
5.9%
8 6
 
5.0%
3 5
 
4.2%
7 4
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
b 980
10.0%
i 980
10.0%
e 980
10.0%
v 980
10.0%
t 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.5%
Common 1099
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
980
89.2%
0 36
 
3.3%
2 15
 
1.4%
1 15
 
1.4%
6 11
 
1.0%
5 10
 
0.9%
9 10
 
0.9%
4 7
 
0.6%
8 6
 
0.5%
3 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
b 980
8.3%
i 980
8.3%
e 980
8.3%
v 980
8.3%
A 980
8.3%
t 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
b 980
7.6%
i 980
7.6%
e 980
7.6%
v 980
7.6%
A 980
7.6%
980
7.6%
Other values (11) 1099
8.5%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:37.275380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.905
Min length1

Characters and Unicode

Total characters12905
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
2000 2
 
0.1%
1951 1
 
0.1%
0 1
 
0.1%
240 1
 
0.1%
2200 1
 
0.1%
625 1
 
0.1%
1850 1
 
0.1%
1940 1
 
0.1%
2023-12-09T20:52:37.591945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (10) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.7%
Uppercase Letter 1980
 
15.3%
Space Separator 990
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
40.0%
2 6
17.1%
1 4
 
11.4%
5 4
 
11.4%
9 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%
8 1
 
2.9%
7 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
b 990
10.0%
i 990
10.0%
e 990
10.0%
v 990
10.0%
t 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.1%
Common 1025
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
b 990
8.3%
i 990
8.3%
e 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%
Common
ValueCountFrequency (%)
990
96.6%
0 14
 
1.4%
2 6
 
0.6%
1 4
 
0.4%
5 4
 
0.4%
9 2
 
0.2%
4 2
 
0.2%
6 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (10) 1025
7.9%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:37.821337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.874
Min length4

Characters and Unicode

Total characters12874
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
0.98042 1
 
0.1%
1.50728 1
 
0.1%
1.34587 1
 
0.1%
1.10312 1
 
0.1%
1.43 1
 
0.1%
0.88312 1
 
0.1%
0.84211 1
 
0.1%
0.77624 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T20:52:38.182268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1114
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.1%
Uppercase Letter 1960
 
15.2%
Space Separator 980
 
7.6%
Decimal Number 114
 
0.9%
Other Punctuation 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
21.9%
0 14
12.3%
7 14
12.3%
2 13
11.4%
4 13
11.4%
8 11
9.6%
5 7
 
6.1%
3 7
 
6.1%
6 7
 
6.1%
9 3
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
t 980
10.0%
v 980
10.0%
i 980
10.0%
b 980
10.0%
e 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.3%
Common 1114
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
980
88.0%
1 25
 
2.2%
. 20
 
1.8%
0 14
 
1.3%
7 14
 
1.3%
2 13
 
1.2%
4 13
 
1.2%
8 11
 
1.0%
5 7
 
0.6%
3 7
 
0.6%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
t 980
8.3%
A 980
8.3%
v 980
8.3%
i 980
8.3%
b 980
8.3%
e 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1114
8.7%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:52:38.407184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.867
Min length3

Characters and Unicode

Total characters12867
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
0.32 2
 
0.1%
0.52632 1
 
0.1%
0.23363 1
 
0.1%
0.50501 1
 
0.1%
0.35389 1
 
0.1%
0.31771 1
 
0.1%
0.23529 1
 
0.1%
0.80645 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:52:38.743403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1107
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.2%
Uppercase Letter 1960
 
15.2%
Space Separator 980
 
7.6%
Decimal Number 107
 
0.8%
Other Punctuation 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
22.4%
3 18
16.8%
2 16
15.0%
5 11
10.3%
1 11
10.3%
8 7
 
6.5%
7 7
 
6.5%
6 6
 
5.6%
4 4
 
3.7%
9 3
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
t 980
10.0%
v 980
10.0%
i 980
10.0%
b 980
10.0%
e 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.4%
Common 1107
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
980
88.5%
0 24
 
2.2%
. 20
 
1.8%
3 18
 
1.6%
2 16
 
1.4%
5 11
 
1.0%
1 11
 
1.0%
8 7
 
0.6%
7 7
 
0.6%
6 6
 
0.5%
Other values (2) 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
t 980
8.3%
A 980
8.3%
v 980
8.3%
i 980
8.3%
b 980
8.3%
e 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1107
8.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:52:38.931880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.796
Min length2

Characters and Unicode

Total characters12796
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
100 16
 
0.8%
90 2
 
0.1%
70 1
 
0.1%
80 1
 
0.1%
2023-12-09T20:52:39.229429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
t 980
7.7%
980
7.7%
A 980
7.7%
v 980
7.7%
i 980
7.7%
b 980
7.7%
Other values (6) 1036
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.6%
Uppercase Letter 1960
 
15.3%
Space Separator 980
 
7.7%
Decimal Number 56
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
t 980
10.0%
v 980
10.0%
i 980
10.0%
b 980
10.0%
e 980
10.0%
Decimal Number
ValueCountFrequency (%)
0 36
64.3%
1 16
28.6%
9 2
 
3.6%
7 1
 
1.8%
8 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.9%
Common 1036
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
t 980
8.3%
A 980
8.3%
v 980
8.3%
i 980
8.3%
b 980
8.3%
e 980
8.3%
Common
ValueCountFrequency (%)
980
94.6%
0 36
 
3.5%
1 16
 
1.5%
9 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
t 980
7.7%
980
7.7%
A 980
7.7%
v 980
7.7%
i 980
7.7%
b 980
7.7%
Other values (6) 1036
8.1%

estimated_data_flag_1
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:52:39.400489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:52:39.674767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:39.804075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:52:40.052173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:40.186481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.062
Min length2

Characters and Unicode

Total characters2062
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 998
98.8%
unable 2
 
0.2%
to 2
 
0.2%
check 2
 
0.2%
not 2
 
0.2%
enough 2
 
0.2%
data 2
 
0.2%
2023-12-09T20:52:40.440519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 1000
48.5%
O 998
48.4%
10
 
0.5%
e 6
 
0.3%
o 6
 
0.3%
t 6
 
0.3%
a 6
 
0.3%
n 6
 
0.3%
h 4
 
0.2%
l 2
 
0.1%
Other values (9) 18
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1046
50.7%
Uppercase Letter 1002
48.6%
Space Separator 10
 
0.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 1000
95.6%
e 6
 
0.6%
o 6
 
0.6%
t 6
 
0.6%
a 6
 
0.6%
n 6
 
0.6%
h 4
 
0.4%
l 2
 
0.2%
b 2
 
0.2%
c 2
 
0.2%
Other values (3) 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
O 998
99.6%
U 2
 
0.2%
C 2
 
0.2%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2048
99.3%
Common 14
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 1000
48.8%
O 998
48.7%
e 6
 
0.3%
o 6
 
0.3%
t 6
 
0.3%
a 6
 
0.3%
n 6
 
0.3%
h 4
 
0.2%
l 2
 
0.1%
b 2
 
0.1%
Other values (6) 12
 
0.6%
Common
ValueCountFrequency (%)
10
71.4%
( 2
 
14.3%
) 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 1000
48.5%
O 998
48.4%
10
 
0.5%
e 6
 
0.3%
o 6
 
0.3%
t 6
 
0.3%
a 6
 
0.3%
n 6
 
0.3%
h 4
 
0.2%
l 2
 
0.1%
Other values (9) 18
 
0.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size59.2 KiB
2023-12-09T20:52:40.576498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length3.488
Min length2

Characters and Unicode

Total characters3488
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 876
77.9%
possible 124
 
11.0%
issue 124
 
11.0%
2023-12-09T20:52:40.823613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 876
25.1%
k 876
25.1%
s 496
14.2%
e 248
 
7.1%
P 124
 
3.6%
o 124
 
3.6%
i 124
 
3.6%
b 124
 
3.6%
l 124
 
3.6%
124
 
3.6%
Other values (2) 248
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2240
64.2%
Uppercase Letter 1124
32.2%
Space Separator 124
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 876
39.1%
s 496
22.1%
e 248
 
11.1%
o 124
 
5.5%
i 124
 
5.5%
b 124
 
5.5%
l 124
 
5.5%
u 124
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
O 876
77.9%
P 124
 
11.0%
I 124
 
11.0%
Space Separator
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3364
96.4%
Common 124
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 876
26.0%
k 876
26.0%
s 496
14.7%
e 248
 
7.4%
P 124
 
3.7%
o 124
 
3.7%
i 124
 
3.7%
b 124
 
3.7%
l 124
 
3.7%
I 124
 
3.7%
Common
ValueCountFrequency (%)
124
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 876
25.1%
k 876
25.1%
s 496
14.2%
e 248
 
7.1%
P 124
 
3.6%
o 124
 
3.6%
i 124
 
3.6%
b 124
 
3.6%
l 124
 
3.6%
124
 
3.6%
Other values (2) 248
 
7.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:40.953638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.072
Min length2

Characters and Unicode

Total characters2072
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 994
98.8%
possible 6
 
0.6%
issue 6
 
0.6%
2023-12-09T20:52:41.222861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1060
51.2%
Uppercase Letter 1006
48.6%
Space Separator 6
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 994
93.8%
s 24
 
2.3%
e 12
 
1.1%
o 6
 
0.6%
i 6
 
0.6%
b 6
 
0.6%
l 6
 
0.6%
u 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
O 994
98.8%
P 6
 
0.6%
I 6
 
0.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2066
99.7%
Common 6
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 994
48.1%
k 994
48.1%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
I 6
 
0.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:41.359852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.072
Min length2

Characters and Unicode

Total characters2072
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 994
98.8%
possible 6
 
0.6%
issue 6
 
0.6%
2023-12-09T20:52:41.623727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1060
51.2%
Uppercase Letter 1006
48.6%
Space Separator 6
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 994
93.8%
s 24
 
2.3%
e 12
 
1.1%
o 6
 
0.6%
i 6
 
0.6%
b 6
 
0.6%
l 6
 
0.6%
u 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
O 994
98.8%
P 6
 
0.6%
I 6
 
0.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2066
99.7%
Common 6
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 994
48.1%
k 994
48.1%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
I 6
 
0.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 994
48.0%
k 994
48.0%
s 24
 
1.2%
e 12
 
0.6%
P 6
 
0.3%
o 6
 
0.3%
i 6
 
0.3%
b 6
 
0.3%
l 6
 
0.3%
6
 
0.3%
Other values (2) 12
 
0.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size61.6 KiB
2023-12-09T20:52:41.771707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length5.972
Min length2

Characters and Unicode

Total characters5972
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowPossible Issue
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 669
50.3%
possible 331
24.9%
issue 331
24.9%
2023-12-09T20:52:42.043961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 1324
22.2%
O 669
11.2%
k 669
11.2%
e 662
11.1%
P 331
 
5.5%
o 331
 
5.5%
i 331
 
5.5%
b 331
 
5.5%
l 331
 
5.5%
331
 
5.5%
Other values (2) 662
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4310
72.2%
Uppercase Letter 1331
 
22.3%
Space Separator 331
 
5.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 1324
30.7%
k 669
15.5%
e 662
15.4%
o 331
 
7.7%
i 331
 
7.7%
b 331
 
7.7%
l 331
 
7.7%
u 331
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
O 669
50.3%
P 331
24.9%
I 331
24.9%
Space Separator
ValueCountFrequency (%)
331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5641
94.5%
Common 331
 
5.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 1324
23.5%
O 669
11.9%
k 669
11.9%
e 662
11.7%
P 331
 
5.9%
o 331
 
5.9%
i 331
 
5.9%
b 331
 
5.9%
l 331
 
5.9%
I 331
 
5.9%
Common
ValueCountFrequency (%)
331
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 1324
22.2%
O 669
11.2%
k 669
11.2%
e 662
11.1%
P 331
 
5.5%
o 331
 
5.5%
i 331
 
5.5%
b 331
 
5.5%
l 331
 
5.5%
331
 
5.5%
Other values (2) 662
11.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:52:42.146441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:52:42.360066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:42.488358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:52:42.736177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.1 KiB
2023-12-09T20:52:42.863708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.357
Min length2

Characters and Unicode

Total characters2357
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 643
64.3%
yes 357
35.7%
2023-12-09T20:52:43.116648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 643
27.3%
o 643
27.3%
Y 357
15.1%
e 357
15.1%
s 357
15.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1357
57.6%
Uppercase Letter 1000
42.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 643
47.4%
e 357
26.3%
s 357
26.3%
Uppercase Letter
ValueCountFrequency (%)
N 643
64.3%
Y 357
35.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 2357
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 643
27.3%
o 643
27.3%
Y 357
15.1%
e 357
15.1%
s 357
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2357
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 643
27.3%
o 643
27.3%
Y 357
15.1%
e 357
15.1%
s 357
15.1%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:52:43.361703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.929
Min length10

Characters and Unicode

Total characters11929
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 643
39.1%
available 643
39.1%
2015-04-29 79
 
4.8%
2015-04-28 39
 
2.4%
2015-04-23 36
 
2.2%
2015-04-30 35
 
2.1%
2015-04-24 24
 
1.5%
2015-04-21 21
 
1.3%
2015-04-20 18
 
1.1%
2015-04-22 16
 
1.0%
Other values (34) 89
 
5.4%
2023-12-09T20:52:43.733124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1286
 
10.8%
l 1286
 
10.8%
0 800
 
6.7%
- 714
 
6.0%
N 643
 
5.4%
t 643
 
5.4%
643
 
5.4%
A 643
 
5.4%
v 643
 
5.4%
i 643
 
5.4%
Other values (12) 3985
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6430
53.9%
Decimal Number 2856
23.9%
Uppercase Letter 1286
 
10.8%
Dash Punctuation 714
 
6.0%
Space Separator 643
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 800
28.0%
2 633
22.2%
1 439
15.4%
5 382
13.4%
4 353
12.4%
3 94
 
3.3%
9 85
 
3.0%
8 40
 
1.4%
7 18
 
0.6%
6 12
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1286
20.0%
l 1286
20.0%
t 643
10.0%
v 643
10.0%
i 643
10.0%
b 643
10.0%
e 643
10.0%
o 643
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 643
50.0%
A 643
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 714
100.0%
Space Separator
ValueCountFrequency (%)
643
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7716
64.7%
Common 4213
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 800
19.0%
- 714
16.9%
643
15.3%
2 633
15.0%
1 439
10.4%
5 382
9.1%
4 353
8.4%
3 94
 
2.2%
9 85
 
2.0%
8 40
 
0.9%
Other values (2) 30
 
0.7%
Latin
ValueCountFrequency (%)
a 1286
16.7%
l 1286
16.7%
N 643
8.3%
t 643
8.3%
A 643
8.3%
v 643
8.3%
i 643
8.3%
b 643
8.3%
e 643
8.3%
o 643
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1286
 
10.8%
l 1286
 
10.8%
0 800
 
6.7%
- 714
 
6.0%
N 643
 
5.4%
t 643
 
5.4%
643
 
5.4%
A 643
 
5.4%
v 643
 
5.4%
i 643
 
5.4%
Other values (12) 3985
33.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.0 KiB
2023-12-09T20:52:43.876321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.24
Min length2

Characters and Unicode

Total characters2240
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowYes
2nd rowYes
3rd rowNo
4th rowNo
5th rowYes
ValueCountFrequency (%)
no 790
78.6%
yes 209
 
20.8%
unable 1
 
0.1%
to 1
 
0.1%
check 1
 
0.1%
not 1
 
0.1%
enough 1
 
0.1%
data 1
 
0.1%
2023-12-09T20:52:44.127951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 793
35.4%
N 790
35.3%
e 212
 
9.5%
Y 209
 
9.3%
s 209
 
9.3%
5
 
0.2%
n 3
 
0.1%
a 3
 
0.1%
t 3
 
0.1%
h 2
 
0.1%
Other values (11) 11
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1232
55.0%
Uppercase Letter 1001
44.7%
Space Separator 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 793
64.4%
e 212
 
17.2%
s 209
 
17.0%
n 3
 
0.2%
a 3
 
0.2%
t 3
 
0.2%
h 2
 
0.2%
b 1
 
0.1%
l 1
 
0.1%
c 1
 
0.1%
Other values (4) 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 790
78.9%
Y 209
 
20.9%
U 1
 
0.1%
C 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2233
99.7%
Common 7
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 793
35.5%
N 790
35.4%
e 212
 
9.5%
Y 209
 
9.4%
s 209
 
9.4%
n 3
 
0.1%
a 3
 
0.1%
t 3
 
0.1%
h 2
 
0.1%
b 1
 
< 0.1%
Other values (8) 8
 
0.4%
Common
ValueCountFrequency (%)
5
71.4%
( 1
 
14.3%
) 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 793
35.4%
N 790
35.3%
e 212
 
9.5%
Y 209
 
9.3%
s 209
 
9.3%
5
 
0.2%
n 3
 
0.1%
a 3
 
0.1%
t 3
 
0.1%
h 2
 
0.1%
Other values (11) 11
 
0.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:44.242191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.029
Min length2

Characters and Unicode

Total characters2029
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 971
97.1%
yes 29
 
2.9%
2023-12-09T20:52:44.467028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1029
50.7%
Uppercase Letter 1000
49.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 971
94.4%
e 29
 
2.8%
s 29
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
N 971
97.1%
Y 29
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 2029
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 971
47.9%
o 971
47.9%
Y 29
 
1.4%
e 29
 
1.4%
s 29
 
1.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:52:44.574892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.03
Min length2

Characters and Unicode

Total characters2030
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 970
97.0%
yes 30
 
3.0%
2023-12-09T20:52:44.796031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1030
50.7%
Uppercase Letter 1000
49.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 970
94.2%
e 30
 
2.9%
s 30
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 970
97.0%
Y 30
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2030
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 970
47.8%
o 970
47.8%
Y 30
 
1.5%
e 30
 
1.5%
s 30
 
1.5%
Distinct158
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:52:45.246528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.728
Min length1

Characters and Unicode

Total characters11728
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)15.2%

Sample

1st row0.49618
2nd row0.75938
3rd rowNot Available
4th rowNot Available
5th row0.23861
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0.3 16
 
0.9%
0 9
 
0.5%
0.4 4
 
0.2%
0.11111 2
 
0.1%
0.10949 2
 
0.1%
0.31789 1
 
0.1%
0.55984 1
 
0.1%
0.53571 1
 
0.1%
Other values (149) 149
 
8.2%
2023-12-09T20:52:45.829000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
13.9%
l 1630
13.9%
N 815
6.9%
o 815
6.9%
t 815
6.9%
815
6.9%
A 815
6.9%
v 815
6.9%
i 815
6.9%
b 815
6.9%
Other values (12) 1948
16.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
69.5%
Uppercase Letter 1630
 
13.9%
Decimal Number 957
 
8.2%
Space Separator 815
 
6.9%
Other Punctuation 176
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 225
23.5%
1 124
13.0%
3 113
11.8%
2 89
 
9.3%
5 78
 
8.2%
8 68
 
7.1%
4 66
 
6.9%
6 66
 
6.9%
9 64
 
6.7%
7 64
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
83.4%
Common 1948
 
16.6%

Most frequent character per script

Common
ValueCountFrequency (%)
815
41.8%
0 225
 
11.6%
. 176
 
9.0%
1 124
 
6.4%
3 113
 
5.8%
2 89
 
4.6%
5 78
 
4.0%
8 68
 
3.5%
4 66
 
3.4%
6 66
 
3.4%
Other values (2) 128
 
6.6%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
13.9%
l 1630
13.9%
N 815
6.9%
o 815
6.9%
t 815
6.9%
815
6.9%
A 815
6.9%
v 815
6.9%
i 815
6.9%
b 815
6.9%
Other values (12) 1948
16.6%
Distinct154
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:52:46.290854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.703
Min length1

Characters and Unicode

Total characters11703
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)14.8%

Sample

1st row1.48854
2nd row1.0125
3rd rowNot Available
4th rowNot Available
5th row0.39768
ValueCountFrequency (%)
not 815
44.9%
available 815
44.9%
0.2 18
 
1.0%
0 13
 
0.7%
0.0127 2
 
0.1%
0.89286 2
 
0.1%
0.33333 2
 
0.1%
0.44331 1
 
0.1%
0.41824 1
 
0.1%
0.10983 1
 
0.1%
Other values (145) 145
 
8.0%
2023-12-09T20:52:46.873889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1630
13.9%
l 1630
13.9%
N 815
7.0%
o 815
7.0%
t 815
7.0%
815
7.0%
A 815
7.0%
v 815
7.0%
i 815
7.0%
b 815
7.0%
Other values (12) 1923
16.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8150
69.6%
Uppercase Letter 1630
 
13.9%
Decimal Number 936
 
8.0%
Space Separator 815
 
7.0%
Other Punctuation 172
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
23.0%
2 122
13.0%
1 104
11.1%
3 91
9.7%
8 77
 
8.2%
6 77
 
8.2%
4 75
 
8.0%
5 70
 
7.5%
7 57
 
6.1%
9 48
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1630
20.0%
l 1630
20.0%
o 815
10.0%
t 815
10.0%
v 815
10.0%
i 815
10.0%
b 815
10.0%
e 815
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 815
50.0%
A 815
50.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Other Punctuation
ValueCountFrequency (%)
. 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
83.6%
Common 1923
 
16.4%

Most frequent character per script

Common
ValueCountFrequency (%)
815
42.4%
0 215
 
11.2%
. 172
 
8.9%
2 122
 
6.3%
1 104
 
5.4%
3 91
 
4.7%
8 77
 
4.0%
6 77
 
4.0%
4 75
 
3.9%
5 70
 
3.6%
Other values (2) 105
 
5.5%
Latin
ValueCountFrequency (%)
a 1630
16.7%
l 1630
16.7%
N 815
8.3%
o 815
8.3%
t 815
8.3%
A 815
8.3%
v 815
8.3%
i 815
8.3%
b 815
8.3%
e 815
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1630
13.9%
l 1630
13.9%
N 815
7.0%
o 815
7.0%
t 815
7.0%
815
7.0%
A 815
7.0%
v 815
7.0%
i 815
7.0%
b 815
7.0%
Other values (12) 1923
16.4%
Distinct515
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:52:47.157163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)30.8%

Sample

1st row2015-04-30T10:24:50.000
2nd row2015-04-30T10:24:51.000
3rd row2015-04-30T10:24:52.000
4th row2015-04-30T10:24:53.000
5th row2015-04-30T10:24:55.000
ValueCountFrequency (%)
2015-04-28t15:24:12.000 11
 
1.1%
2015-04-30t11:04:42.000 10
 
1.0%
2015-04-30t20:49:47.000 9
 
0.9%
2015-04-24t12:08:26.000 9
 
0.9%
2015-04-30t20:24:18.000 8
 
0.8%
2015-04-28t16:41:41.000 8
 
0.8%
2015-04-30t12:38:27.000 8
 
0.8%
2015-04-30t11:04:41.000 8
 
0.8%
2015-04-27t14:21:03.000 7
 
0.7%
2015-04-30t16:29:42.000 7
 
0.7%
Other values (505) 915
91.5%
2023-12-09T20:52:47.558823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6140
26.7%
1 2794
12.1%
2 2215
 
9.6%
- 2000
 
8.7%
: 2000
 
8.7%
5 1746
 
7.6%
4 1603
 
7.0%
3 1006
 
4.4%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1496
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6140
36.1%
1 2794
16.4%
2 2215
 
13.0%
5 1746
 
10.3%
4 1603
 
9.4%
3 1006
 
5.9%
9 488
 
2.9%
7 351
 
2.1%
6 337
 
2.0%
8 320
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6140
27.9%
1 2794
12.7%
2 2215
 
10.1%
- 2000
 
9.1%
: 2000
 
9.1%
5 1746
 
7.9%
4 1603
 
7.3%
3 1006
 
4.6%
. 1000
 
4.5%
9 488
 
2.2%
Other values (3) 1008
 
4.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6140
26.7%
1 2794
12.1%
2 2215
 
9.6%
- 2000
 
8.7%
: 2000
 
8.7%
5 1746
 
7.6%
4 1603
 
7.0%
3 1006
 
4.4%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1496
 
6.5%
Distinct291
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:52:47.918926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)20.3%

Sample

1st row2015-04-30T10:30:36.000
2nd row2015-04-30T10:30:36.000
3rd row2015-04-30T10:30:36.000
4th row2015-04-30T10:30:36.000
5th row2015-04-30T10:30:36.000
ValueCountFrequency (%)
2015-07-31t15:12:54.000 95
 
9.5%
2015-04-30t14:18:35.000 64
 
6.4%
2015-04-30t16:30:39.000 53
 
5.3%
2015-04-30t11:05:26.000 45
 
4.5%
2015-04-30t19:15:21.000 33
 
3.3%
2015-05-18t14:13:02.000 28
 
2.8%
2015-04-29t13:01:16.000 21
 
2.1%
2015-04-30t20:49:24.000 21
 
2.1%
2015-04-24t12:18:05.000 20
 
2.0%
2015-04-29t10:09:48.000 15
 
1.5%
Other values (281) 605
60.5%
2023-12-09T20:52:48.396229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6185
26.9%
1 2919
12.7%
2 2140
 
9.3%
- 2000
 
8.7%
: 2000
 
8.7%
5 1933
 
8.4%
4 1350
 
5.9%
3 1087
 
4.7%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1386
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6185
36.4%
1 2919
17.2%
2 2140
 
12.6%
5 1933
 
11.4%
4 1350
 
7.9%
3 1087
 
6.4%
9 438
 
2.6%
6 329
 
1.9%
7 314
 
1.8%
8 305
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6185
28.1%
1 2919
13.3%
2 2140
 
9.7%
- 2000
 
9.1%
: 2000
 
9.1%
5 1933
 
8.8%
4 1350
 
6.1%
3 1087
 
4.9%
. 1000
 
4.5%
9 438
 
2.0%
Other values (3) 948
 
4.3%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6185
26.9%
1 2919
12.7%
2 2140
 
9.3%
- 2000
 
8.7%
: 2000
 
8.7%
5 1933
 
8.4%
4 1350
 
5.9%
3 1087
 
4.7%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1386
 
6.0%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing51
Missing (%)5.1%
Memory size62.1 KiB
2023-12-09T20:52:48.579269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.185458377
Min length5

Characters and Unicode

Total characters7768
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
manhattan 642
65.7%
queens 118
 
12.1%
bronx 86
 
8.8%
brooklyn 75
 
7.7%
staten 28
 
2.9%
is 28
 
2.9%
2023-12-09T20:52:48.891725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1954
25.2%
N 1591
20.5%
T 1340
17.3%
M 642
 
8.3%
H 642
 
8.3%
E 264
 
3.4%
O 236
 
3.0%
S 174
 
2.2%
R 161
 
2.1%
B 161
 
2.1%
Other values (8) 603
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7740
99.6%
Space Separator 28
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1954
25.2%
N 1591
20.6%
T 1340
17.3%
M 642
 
8.3%
H 642
 
8.3%
E 264
 
3.4%
O 236
 
3.0%
S 174
 
2.2%
R 161
 
2.1%
B 161
 
2.1%
Other values (7) 575
 
7.4%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7740
99.6%
Common 28
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1954
25.2%
N 1591
20.6%
T 1340
17.3%
M 642
 
8.3%
H 642
 
8.3%
E 264
 
3.4%
O 236
 
3.0%
S 174
 
2.2%
R 161
 
2.1%
B 161
 
2.1%
Other values (7) 575
 
7.4%
Common
ValueCountFrequency (%)
28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1954
25.2%
N 1591
20.5%
T 1340
17.3%
M 642
 
8.3%
H 642
 
8.3%
E 264
 
3.4%
O 236
 
3.0%
S 174
 
2.2%
R 161
 
2.1%
B 161
 
2.1%
Other values (8) 603
 
7.8%

latitude
Text

MISSING 

Distinct925
Distinct (%)97.5%
Missing51
Missing (%)5.1%
Memory size62.8 KiB
2023-12-09T20:52:49.221521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.875658588
Min length7

Characters and Unicode

Total characters8423
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique913 ?
Unique (%)96.2%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.852799 14
 
1.5%
40.848568 2
 
0.2%
40.748304 2
 
0.2%
40.761396 2
 
0.2%
40.747571 2
 
0.2%
40.759789 2
 
0.2%
40.778954 2
 
0.2%
40.749032 2
 
0.2%
40.75745 2
 
0.2%
40.743023 2
 
0.2%
Other values (915) 917
96.6%
2023-12-09T20:52:49.695910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1484
17.6%
0 1294
15.4%
7 1171
13.9%
. 949
11.3%
5 617
7.3%
8 583
 
6.9%
6 557
 
6.6%
3 462
 
5.5%
9 459
 
5.4%
2 447
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7474
88.7%
Other Punctuation 949
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1484
19.9%
0 1294
17.3%
7 1171
15.7%
5 617
8.3%
8 583
 
7.8%
6 557
 
7.5%
3 462
 
6.2%
9 459
 
6.1%
2 447
 
6.0%
1 400
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 949
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1484
17.6%
0 1294
15.4%
7 1171
13.9%
. 949
11.3%
5 617
7.3%
8 583
 
6.9%
6 557
 
6.6%
3 462
 
5.5%
9 459
 
5.4%
2 447
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1484
17.6%
0 1294
15.4%
7 1171
13.9%
. 949
11.3%
5 617
7.3%
8 583
 
6.9%
6 557
 
6.6%
3 462
 
5.5%
9 459
 
5.4%
2 447
 
5.3%

longitude
Text

MISSING 

Distinct927
Distinct (%)97.7%
Missing51
Missing (%)5.1%
Memory size63.7 KiB
2023-12-09T20:52:50.042807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.906217071
Min length7

Characters and Unicode

Total characters9401
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique917 ?
Unique (%)96.6%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.853325 14
 
1.5%
73.979457 2
 
0.2%
73.95831 2
 
0.2%
73.982095 2
 
0.2%
73.976544 2
 
0.2%
73.986402 2
 
0.2%
73.973798 2
 
0.2%
73.97092 2
 
0.2%
73.752226 2
 
0.2%
73.961258 2
 
0.2%
Other values (917) 917
96.6%
2023-12-09T20:52:50.515443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1572
16.7%
3 1220
13.0%
9 1144
12.2%
- 949
10.1%
. 949
10.1%
8 632
6.7%
4 528
 
5.6%
5 520
 
5.5%
1 492
 
5.2%
6 474
 
5.0%
Other values (2) 921
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7503
79.8%
Dash Punctuation 949
 
10.1%
Other Punctuation 949
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1572
21.0%
3 1220
16.3%
9 1144
15.2%
8 632
8.4%
4 528
 
7.0%
5 520
 
6.9%
1 492
 
6.6%
6 474
 
6.3%
0 469
 
6.3%
2 452
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 949
100.0%
Other Punctuation
ValueCountFrequency (%)
. 949
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1572
16.7%
3 1220
13.0%
9 1144
12.2%
- 949
10.1%
. 949
10.1%
8 632
6.7%
4 528
 
5.6%
5 520
 
5.5%
1 492
 
5.2%
6 474
 
5.0%
Other values (2) 921
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1572
16.7%
3 1220
13.0%
9 1144
12.2%
- 949
10.1%
. 949
10.1%
8 632
6.7%
4 528
 
5.6%
5 520
 
5.5%
1 492
 
5.2%
6 474
 
5.0%
Other values (2) 921
9.8%

community_board
Text

MISSING 

Distinct53
Distinct (%)5.6%
Missing51
Missing (%)5.1%
Memory size57.3 KiB
2023-12-09T20:52:50.761939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2847
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.1%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 214
22.6%
108 85
 
9.0%
106 78
 
8.2%
101 67
 
7.1%
107 63
 
6.6%
104 45
 
4.7%
411 38
 
4.0%
102 36
 
3.8%
408 32
 
3.4%
112 27
 
2.8%
Other values (43) 264
27.8%
2023-12-09T20:52:51.114807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 950
33.4%
0 808
28.4%
5 264
 
9.3%
4 191
 
6.7%
2 184
 
6.5%
8 129
 
4.5%
3 116
 
4.1%
6 96
 
3.4%
7 89
 
3.1%
9 20
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2847
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 950
33.4%
0 808
28.4%
5 264
 
9.3%
4 191
 
6.7%
2 184
 
6.5%
8 129
 
4.5%
3 116
 
4.1%
6 96
 
3.4%
7 89
 
3.1%
9 20
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2847
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 950
33.4%
0 808
28.4%
5 264
 
9.3%
4 191
 
6.7%
2 184
 
6.5%
8 129
 
4.5%
3 116
 
4.1%
6 96
 
3.4%
7 89
 
3.1%
9 20
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 950
33.4%
0 808
28.4%
5 264
 
9.3%
4 191
 
6.7%
2 184
 
6.5%
8 129
 
4.5%
3 116
 
4.1%
6 96
 
3.4%
7 89
 
3.1%
9 20
 
0.7%

council_district
Text

MISSING 

Distinct48
Distinct (%)5.1%
Missing51
Missing (%)5.1%
Memory size55.8 KiB
2023-12-09T20:52:51.311215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.342465753
Min length1

Characters and Unicode

Total characters1274
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 266
28.0%
3 111
11.7%
1 80
 
8.4%
23 59
 
6.2%
6 58
 
6.1%
2 46
 
4.8%
5 35
 
3.7%
10 24
 
2.5%
14 19
 
2.0%
13 18
 
1.9%
Other values (38) 233
24.6%
2023-12-09T20:52:51.624144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 364
28.6%
3 232
18.2%
1 206
16.2%
2 167
13.1%
6 85
 
6.7%
5 72
 
5.7%
0 50
 
3.9%
7 38
 
3.0%
9 38
 
3.0%
8 22
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1274
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 364
28.6%
3 232
18.2%
1 206
16.2%
2 167
13.1%
6 85
 
6.7%
5 72
 
5.7%
0 50
 
3.9%
7 38
 
3.0%
9 38
 
3.0%
8 22
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 1274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 364
28.6%
3 232
18.2%
1 206
16.2%
2 167
13.1%
6 85
 
6.7%
5 72
 
5.7%
0 50
 
3.9%
7 38
 
3.0%
9 38
 
3.0%
8 22
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 364
28.6%
3 232
18.2%
1 206
16.2%
2 167
13.1%
6 85
 
6.7%
5 72
 
5.7%
0 50
 
3.9%
7 38
 
3.0%
9 38
 
3.0%
8 22
 
1.7%

census_tract
Text

MISSING 

Distinct290
Distinct (%)30.6%
Missing51
Missing (%)5.1%
Memory size57.3 KiB
2023-12-09T20:52:52.142946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.01369863
Min length1

Characters and Unicode

Total characters2860
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)14.9%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
1377 37
 
3.9%
102 21
 
2.2%
1347 20
 
2.1%
39 18
 
1.9%
7 17
 
1.8%
96 16
 
1.7%
104 16
 
1.7%
250 14
 
1.5%
100 13
 
1.4%
82 13
 
1.4%
Other values (280) 764
80.5%
2023-12-09T20:52:52.737186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 670
23.4%
2 341
11.9%
0 333
11.6%
3 291
10.2%
7 271
9.5%
9 219
 
7.7%
4 206
 
7.2%
5 202
 
7.1%
8 165
 
5.8%
6 162
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2860
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 670
23.4%
2 341
11.9%
0 333
11.6%
3 291
10.2%
7 271
9.5%
9 219
 
7.7%
4 206
 
7.2%
5 202
 
7.1%
8 165
 
5.8%
6 162
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 670
23.4%
2 341
11.9%
0 333
11.6%
3 291
10.2%
7 271
9.5%
9 219
 
7.7%
4 206
 
7.2%
5 202
 
7.1%
8 165
 
5.8%
6 162
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 670
23.4%
2 341
11.9%
0 333
11.6%
3 291
10.2%
7 271
9.5%
9 219
 
7.7%
4 206
 
7.2%
5 202
 
7.1%
8 165
 
5.8%
6 162
 
5.7%

nta
Text

MISSING 

Distinct114
Distinct (%)12.0%
Missing51
Missing (%)5.1%
Memory size75.4 KiB
2023-12-09T20:52:53.084823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length46
Mean length22.51633298
Min length6

Characters and Unicode

Total characters21368
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)4.0%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
south 172
 
7.2%
midtown-midtown 151
 
6.3%
upper 94
 
3.9%
square 80
 
3.4%
hill 76
 
3.2%
east 74
 
3.1%
west 72
 
3.0%
turtle 71
 
3.0%
bay-east 71
 
3.0%
midtown 71
 
3.0%
Other values (167) 1448
60.8%
2023-12-09T20:52:53.588306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1681
 
7.9%
e 1519
 
7.1%
i 1467
 
6.9%
a 1459
 
6.8%
1431
 
6.7%
o 1379
 
6.5%
n 1340
 
6.3%
r 1075
 
5.0%
l 1011
 
4.7%
s 892
 
4.2%
Other values (45) 8114
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15728
73.6%
Uppercase Letter 3348
 
15.7%
Space Separator 1431
 
6.7%
Dash Punctuation 857
 
4.0%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1681
10.7%
e 1519
9.7%
i 1467
9.3%
a 1459
9.3%
o 1379
8.8%
n 1340
8.5%
r 1075
 
6.8%
l 1011
 
6.4%
s 892
 
5.7%
d 834
 
5.3%
Other values (15) 3071
19.5%
Uppercase Letter
ValueCountFrequency (%)
M 531
15.9%
S 417
12.5%
H 387
11.6%
C 365
10.9%
B 248
 
7.4%
U 188
 
5.6%
E 157
 
4.7%
L 136
 
4.1%
P 116
 
3.5%
T 115
 
3.4%
Other values (14) 688
20.5%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
1431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19076
89.3%
Common 2292
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1681
 
8.8%
e 1519
 
8.0%
i 1467
 
7.7%
a 1459
 
7.6%
o 1379
 
7.2%
n 1340
 
7.0%
r 1075
 
5.6%
l 1011
 
5.3%
s 892
 
4.7%
d 834
 
4.4%
Other values (39) 6419
33.6%
Common
ValueCountFrequency (%)
1431
62.4%
- 857
37.4%
' 1
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1681
 
7.9%
e 1519
 
7.1%
i 1467
 
6.9%
a 1459
 
6.8%
1431
 
6.7%
o 1379
 
6.5%
n 1340
 
6.3%
r 1075
 
5.0%
l 1011
 
4.7%
s 892
 
4.2%
Other values (45) 8114
38.0%